{ "generated_at": "2026-06-24T02:15:12.974Z", "storage": { "mode": "persisted", "snapshot_kind": "decisions", "generated_at": "2026-06-24T02:15:12.974Z", "stored_at": "2026-06-24T02:16:27.798Z", "fresh": false }, "family": { "id": "food-route", "name": "Food route", "decisionType": "food_route", "status": "active", "endpoint": "/api/decisions/food-route", "note": "Turns destination and venue-density entity records into traveler-facing food-route picks.", "output": "Best food-first destination and route fit." }, "decision_count": 7, "filters": { "destination": "all", "city": "all", "route": "all", "limit": "all" }, "rows": [ { "decision_id": "food_bangkok", "decision_type": "food_route", "subject_id": "bangkok", "subject_name": "Bangkok", "subject_type": "destination", "score": 74, "component_score": 79.6, "penalty_points": 6, "confidence": "Medium", "label": "good", "recommendation": "Bangkok is a good food-route pick right now.", "best_for": "First-trip range, Chinatown, rail-linked eating, and rainy-day fallback.", "avoid_if": "You want one quiet neighborhood to explain the whole city.", "check_first": [ "Check Air4Thai before heavy outdoor days.", "Choose a BTS/MRT-linked base before paying for a hotel." ], "next_action": "Choose the neighborhood first, then the named place.", "pivot": "Use malls, Chinatown, or BTS-linked zones when rain and heat stack.", "freshness_class": "fresh", "score_formula_version": "signal-first-v2", "signal_coverage": { "total_components": 6, "available_components": 6, "live_components": 3, "fallback_components": 3, "defaulted_components": 0, "coverage_ratio": 1 }, "score_components": [ { "key": "destination_fit", "label": "Destination fit", "score": 65, "weight": 0.26, "contribution": 16.9, "source": "decision", "signal_type": null, "entity_id": null, "used_default": false, "default_reason": "Destination decision missing; using conservative fallback.", "note": "" }, { "key": "local_confidence", "label": "Local source confidence", "score": 97, "weight": 0.16, "contribution": 15.52, "source": "signal", "signal_type": "source_confidence", "entity_id": "bangkok", "used_default": false, "default_reason": "Food-route source confidence missing; using conservative fallback.", "note": "" }, { "key": "local_comfort", "label": "Local comfort", "score": 93.5, "weight": 0.12, "contribution": 11.22, "source": "derived", "signal_type": null, "entity_id": "bangkok", "used_default": false, "default_reason": "", "note": "" }, { "key": "rain_fit", "label": "Rain fit", "score": 56, "weight": 0.1, "contribution": 5.6, "source": "signal", "signal_type": "rain_risk", "entity_id": "bangkok", "used_default": false, "default_reason": "Food-route rain fit missing; using conservative fallback.", "note": "" }, { "key": "transport_fit", "label": "Transport fit", "score": 86, "weight": 0.1, "contribution": 8.6, "source": "signal", "signal_type": "transport_friction", "entity_id": "bangkok", "used_default": false, "default_reason": "Food-route transport fit missing; using conservative fallback.", "note": "" }, { "key": "food_blueprint_baseline", "label": "Food blueprint baseline", "score": 90, "weight": 0.1, "contribution": 9, "source": "blueprint", "signal_type": null, "entity_id": "bangkok", "used_default": false, "default_reason": "Food blueprint seed missing; using destination score fallback.", "note": "" } ], "penalty_components": [ { "key": "freshness_penalty", "label": "Freshness penalty", "freshness_class": "fresh", "points": 0, "applied": false, "note": "Signals are fresh enough that no freshness penalty applies." }, { "key": "coverage_penalty", "label": "Coverage penalty", "defaulted_components": 0, "points": 0, "applied": false, "note": "All decision components are covered by live or persisted graph values." }, { "key": "contradiction_penalty", "label": "Food-route contradiction penalty", "points": 6, "applied": true, "spread": 41, "note": "Component scores spread by 41 points, so the engine treats the answer as more contradictory." } ], "fallback_used": false, "fallback_components": [], "source_summary": "19 joined sources support this decision.", "path": "/today/bangkok/", "computed_at": "2026-06-24T02:15:12.974Z", "expires_at": "2026-06-24T14:15:23.481Z" }, { "decision_id": "food_chiang-mai", "decision_type": "food_route", "subject_id": "chiang-mai", "subject_name": "Chiang Mai", "subject_type": "destination", "score": 70, "component_score": 76.1, "penalty_points": 6, "confidence": "Medium", "label": "mixed", "recommendation": "Chiang Mai works better as a supporting food move than the main food trip answer.", "best_for": "Khao soi, northern flavors, markets, and cafe routing.", "avoid_if": "AQI is high enough to make outdoor city walking feel punishing.", "check_first": [ "Treat sustained PM2.5 as the main breaker.", "Choose Old City or Nimman based on trip shape, not a random deal." ], "next_action": "Use khao soi as the anchor, not the entire route.", "pivot": "Use Nimman comfort or indoor-heavy stops if the air is only borderline.", "freshness_class": "fresh", "score_formula_version": "signal-first-v2", "signal_coverage": { "total_components": 6, "available_components": 6, "live_components": 3, "fallback_components": 3, "defaulted_components": 0, "coverage_ratio": 1 }, "score_components": [ { "key": "destination_fit", "label": "Destination fit", "score": 65, "weight": 0.26, "contribution": 16.9, "source": "decision", "signal_type": null, "entity_id": null, "used_default": false, "default_reason": "Destination decision missing; using conservative fallback.", "note": "" }, { "key": "local_confidence", "label": "Local source confidence", "score": 97, "weight": 0.16, "contribution": 15.52, "source": "signal", "signal_type": "source_confidence", "entity_id": "chiang-mai", "used_default": false, "default_reason": "Food-route source confidence missing; using conservative fallback.", "note": "" }, { "key": "local_comfort", "label": "Local comfort", "score": 93.5, "weight": 0.12, "contribution": 11.22, "source": "derived", "signal_type": null, "entity_id": "chiang-mai", "used_default": false, "default_reason": "", "note": "" }, { "key": "rain_fit", "label": "Rain fit", "score": 56, "weight": 0.1, "contribution": 5.6, "source": "signal", "signal_type": "rain_risk", "entity_id": "chiang-mai", "used_default": false, "default_reason": "Food-route rain fit missing; using conservative fallback.", "note": "" }, { "key": "transport_fit", "label": "Transport fit", "score": 63, "weight": 0.1, "contribution": 6.3, "source": "signal", "signal_type": "transport_friction", "entity_id": "chiang-mai", "used_default": false, "default_reason": "Food-route transport fit missing; using conservative fallback.", "note": "" }, { "key": "food_blueprint_baseline", "label": "Food blueprint baseline", "score": 84, "weight": 0.1, "contribution": 8.4, "source": "blueprint", "signal_type": null, "entity_id": "chiang-mai", "used_default": false, "default_reason": "Food blueprint seed missing; using destination score fallback.", "note": "" } ], "penalty_components": [ { "key": "freshness_penalty", "label": "Freshness penalty", "freshness_class": "fresh", "points": 0, "applied": false, "note": "Signals are fresh enough that no freshness penalty applies." }, { "key": "coverage_penalty", "label": "Coverage penalty", "defaulted_components": 0, "points": 0, "applied": false, "note": "All decision components are covered by live or persisted graph values." }, { "key": "contradiction_penalty", "label": "Food-route contradiction penalty", "points": 6, "applied": true, "spread": 41, "note": "Component scores spread by 41 points, so the engine treats the answer as more contradictory." } ], "fallback_used": false, "fallback_components": [], "source_summary": "10 joined sources support this decision.", "path": "/where-to-go/chiang-mai/", "computed_at": "2026-06-24T02:15:12.974Z", "expires_at": "2026-06-24T14:15:23.481Z" }, { "decision_id": "food_koh-samui", "decision_type": "food_route", "subject_id": "koh-samui", "subject_name": "Koh Samui", "subject_type": "destination", "score": 67, "component_score": 72.6, "penalty_points": 6, "confidence": "Medium", "label": "mixed", "recommendation": "Koh Samui works better as a supporting food move than the main food trip answer.", "best_for": "Island comfort stays that want enough dining without turning nightlife into the whole trip.", "avoid_if": "You are chasing a city-level food graph on a resort island.", "check_first": [ "Compare Gulf weather directly with the Andaman coast.", "Use Samui itself as the stable base before adding Phangan or Tao." ], "next_action": "Let the hotel base and transfer burden decide how wide the food route should spread.", "pivot": "Use Bangkok or Chiang Mai for the food-heavy segment of a split trip.", "freshness_class": "fresh", "score_formula_version": "signal-first-v2", "signal_coverage": { "total_components": 6, "available_components": 6, "live_components": 3, "fallback_components": 3, "defaulted_components": 0, "coverage_ratio": 1 }, "score_components": [ { "key": "destination_fit", "label": "Destination fit", "score": 59, "weight": 0.26, "contribution": 15.34, "source": "decision", "signal_type": null, "entity_id": null, "used_default": false, "default_reason": "Destination decision missing; using conservative fallback.", "note": "" }, { "key": "local_confidence", "label": "Local source confidence", "score": 97, "weight": 0.16, "contribution": 15.52, "source": "signal", "signal_type": "source_confidence", "entity_id": "koh-samui", "used_default": false, "default_reason": "Food-route source confidence missing; using conservative fallback.", "note": "" }, { "key": "local_comfort", "label": "Local comfort", "score": 93.5, "weight": 0.12, "contribution": 11.22, "source": "derived", "signal_type": null, "entity_id": "koh-samui", "used_default": false, "default_reason": "", "note": "" }, { "key": "rain_fit", "label": "Rain fit", "score": 56, "weight": 0.1, "contribution": 5.6, "source": "signal", "signal_type": "rain_risk", "entity_id": "koh-samui", "used_default": false, "default_reason": "Food-route rain fit missing; using conservative fallback.", "note": "" }, { "key": "transport_fit", "label": "Transport fit", "score": 60, "weight": 0.1, "contribution": 6, "source": "signal", "signal_type": "transport_friction", "entity_id": "koh-samui", "used_default": false, "default_reason": "Food-route transport fit missing; using conservative fallback.", "note": "" }, { "key": "food_blueprint_baseline", "label": "Food blueprint baseline", "score": 73, "weight": 0.1, "contribution": 7.3, "source": "blueprint", "signal_type": null, "entity_id": "koh-samui", "used_default": false, "default_reason": "Food blueprint seed missing; using destination score fallback.", "note": "" } ], "penalty_components": [ { "key": "freshness_penalty", "label": "Freshness penalty", "freshness_class": "fresh", "points": 0, "applied": false, "note": "Signals are fresh enough that no freshness penalty applies." }, { "key": "coverage_penalty", "label": "Coverage penalty", "defaulted_components": 0, "points": 0, "applied": false, "note": "All decision components are covered by live or persisted graph values." }, { "key": "contradiction_penalty", "label": "Food-route contradiction penalty", "points": 6, "applied": true, "spread": 41, "note": "Component scores spread by 41 points, so the engine treats the answer as more contradictory." } ], "fallback_used": false, "fallback_components": [], "source_summary": "9 joined sources support this decision.", "path": "/where-to-go/koh-samui/", "computed_at": "2026-06-24T02:15:12.974Z", "expires_at": "2026-06-24T18:00:00.000Z" }, { "decision_id": "food_isaan", "decision_type": "food_route", "subject_id": "isaan", "subject_name": "Isaan", "subject_type": "destination", "score": 67, "component_score": 72.5, "penalty_points": 6, "confidence": "Medium", "label": "mixed", "recommendation": "Isaan works better as a supporting food move than the main food trip answer.", "best_for": "Repeat visitors who want regional food identity over a polished tourist script.", "avoid_if": "You need one easy first-trip dining district to do all the work.", "check_first": [ "Treat province choice as the real decision, not just the region label.", "Use Khon Kaen, Ubon, Nong Khai, or Korat as actual anchors." ], "next_action": "Pick one province cluster and let the food justify the route.", "pivot": "Use Bangkok or Khon Kaen as the easier bridge into the region.", "freshness_class": "fresh", "score_formula_version": "signal-first-v2", "signal_coverage": { "total_components": 6, "available_components": 6, "live_components": 3, "fallback_components": 3, "defaulted_components": 0, "coverage_ratio": 1 }, "score_components": [ { "key": "destination_fit", "label": "Destination fit", "score": 63, "weight": 0.26, "contribution": 16.38, "source": "decision", "signal_type": null, "entity_id": null, "used_default": false, "default_reason": "Destination decision missing; using conservative fallback.", "note": "" }, { "key": "local_confidence", "label": "Local source confidence", "score": 91, "weight": 0.16, "contribution": 14.56, "source": "signal", "signal_type": "source_confidence", "entity_id": "isaan", "used_default": false, "default_reason": "Food-route source confidence missing; using conservative fallback.", "note": "" }, { "key": "local_comfort", "label": "Local comfort", "score": 80, "weight": 0.12, "contribution": 9.6, "source": "derived", "signal_type": null, "entity_id": "isaan", "used_default": false, "default_reason": "", "note": "" }, { "key": "rain_fit", "label": "Rain fit", "score": 64, "weight": 0.1, "contribution": 6.4, "source": "signal", "signal_type": "rain_risk", "entity_id": "isaan", "used_default": false, "default_reason": "Food-route rain fit missing; using conservative fallback.", "note": "" }, { "key": "transport_fit", "label": "Transport fit", "score": 58, "weight": 0.1, "contribution": 5.8, "source": "signal", "signal_type": "transport_friction", "entity_id": "isaan", "used_default": false, "default_reason": "Food-route transport fit missing; using conservative fallback.", "note": "" }, { "key": "food_blueprint_baseline", "label": "Food blueprint baseline", "score": 82, "weight": 0.1, "contribution": 8.2, "source": "blueprint", "signal_type": null, "entity_id": "isaan", "used_default": false, "default_reason": "Food blueprint seed missing; using destination score fallback.", "note": "" } ], "penalty_components": [ { "key": "freshness_penalty", "label": "Freshness penalty", "freshness_class": "fresh", "points": 0, "applied": false, "note": "Signals are fresh enough that no freshness penalty applies." }, { "key": "coverage_penalty", "label": "Coverage penalty", "defaulted_components": 0, "points": 0, "applied": false, "note": "All decision components are covered by live or persisted graph values." }, { "key": "contradiction_penalty", "label": "Food-route contradiction penalty", "points": 6, "applied": true, "spread": 33, "note": "Component scores spread by 33 points, so the engine treats the answer as more contradictory." } ], "fallback_used": false, "fallback_components": [], "source_summary": "14 joined sources support this decision.", "path": "/where-to-go/isaan/", "computed_at": "2026-06-24T02:15:12.974Z", "expires_at": "2026-06-24T14:15:23.481Z" }, { "decision_id": "food_phuket", "decision_type": "food_route", "subject_id": "phuket", "subject_name": "Phuket", "subject_type": "destination", "score": 62, "component_score": 71, "penalty_points": 9, "confidence": "Medium", "label": "mixed", "recommendation": "Phuket works better as a supporting food move than the main food trip answer.", "best_for": "Beach-trip food routes that need Old Town and rain backup in the mix.", "avoid_if": "You expect one beach strip to solve every meal mood.", "check_first": [ "Choose the beach area before the hotel.", "Check marine and weather layers before committing to boat-heavy days." ], "next_action": "Keep Old Town as the fallback even if the hotel is beach-first.", "pivot": "Move the eating day away from the beach when weather weakens.", "freshness_class": "fresh", "score_formula_version": "signal-first-v2", "signal_coverage": { "total_components": 6, "available_components": 6, "live_components": 3, "fallback_components": 3, "defaulted_components": 0, "coverage_ratio": 1 }, "score_components": [ { "key": "destination_fit", "label": "Destination fit", "score": 57, "weight": 0.26, "contribution": 14.82, "source": "decision", "signal_type": null, "entity_id": null, "used_default": false, "default_reason": "Destination decision missing; using conservative fallback.", "note": "" }, { "key": "local_confidence", "label": "Local source confidence", "score": 97, "weight": 0.16, "contribution": 15.52, "source": "signal", "signal_type": "source_confidence", "entity_id": "phuket", "used_default": false, "default_reason": "Food-route source confidence missing; using conservative fallback.", "note": "" }, { "key": "local_comfort", "label": "Local comfort", "score": 93.5, "weight": 0.12, "contribution": 11.22, "source": "derived", "signal_type": null, "entity_id": "phuket", "used_default": false, "default_reason": "", "note": "" }, { "key": "rain_fit", "label": "Rain fit", "score": 44, "weight": 0.1, "contribution": 4.4, "source": "signal", "signal_type": "rain_risk", "entity_id": "phuket", "used_default": false, "default_reason": "Food-route rain fit missing; using conservative fallback.", "note": "" }, { "key": "transport_fit", "label": "Transport fit", "score": 61, "weight": 0.1, "contribution": 6.1, "source": "signal", "signal_type": "transport_friction", "entity_id": "phuket", "used_default": false, "default_reason": "Food-route transport fit missing; using conservative fallback.", "note": "" }, { "key": "food_blueprint_baseline", "label": "Food blueprint baseline", "score": 76, "weight": 0.1, "contribution": 7.6, "source": "blueprint", "signal_type": null, "entity_id": "phuket", "used_default": false, "default_reason": "Food blueprint seed missing; using destination score fallback.", "note": "" } ], "penalty_components": [ { "key": "freshness_penalty", "label": "Freshness penalty", "freshness_class": "fresh", "points": 0, "applied": false, "note": "Signals are fresh enough that no freshness penalty applies." }, { "key": "coverage_penalty", "label": "Coverage penalty", "defaulted_components": 0, "points": 0, "applied": false, "note": "All decision components are covered by live or persisted graph values." }, { "key": "contradiction_penalty", "label": "Food-route contradiction penalty", "points": 9, "applied": true, "spread": 53, "note": "Component scores spread by 53 points, so the engine treats the answer as more contradictory." } ], "fallback_used": false, "fallback_components": [], "source_summary": "9 joined sources support this decision.", "path": "/where-to-go/phuket/", "computed_at": "2026-06-24T02:15:12.974Z", "expires_at": "2026-06-24T18:00:00.000Z" }, { "decision_id": "food_pattaya-chonburi", "decision_type": "food_route", "subject_id": "pattaya-chonburi", "subject_name": "Pattaya / Chonburi", "subject_type": "destination", "score": 58, "component_score": 68.9, "penalty_points": 11, "confidence": "Medium", "label": "mixed", "recommendation": "Pattaya / Chonburi works better as a supporting food move than the main food trip answer.", "best_for": "Seafood, Thai-Chinese coastal eating, short-notice Bangkok coast pivots, and nightlife-adjacent food runs.", "avoid_if": "You want one calm district to explain the whole destination or you dislike traffic-heavy meal routing.", "check_first": [ "Treat weekend traffic as a real input, not a footnote.", "Pick the beach or hotel zone before the hotel brand." ], "next_action": "Pick the zone first, then the named place, and let weekend traffic change the meal plan if needed.", "pivot": "Use Bangkok for the deeper food segment if the coast is only a short break.", "freshness_class": "fresh", "score_formula_version": "signal-first-v2", "signal_coverage": { "total_components": 6, "available_components": 5, "live_components": 2, "fallback_components": 3, "defaulted_components": 1, "coverage_ratio": 0.833 }, "score_components": [ { "key": "destination_fit", "label": "Destination fit", "score": 51, "weight": 0.26, "contribution": 13.26, "source": "decision", "signal_type": null, "entity_id": null, "used_default": false, "default_reason": "Destination decision missing; using conservative fallback.", "note": "" }, { "key": "local_confidence", "label": "Local source confidence", "score": 97, "weight": 0.16, "contribution": 15.52, "source": "signal", "signal_type": "source_confidence", "entity_id": "pattaya-chonburi", "used_default": false, "default_reason": "Food-route source confidence missing; using conservative fallback.", "note": "" }, { "key": "local_comfort", "label": "Local comfort", "score": 70, "weight": 0.12, "contribution": 8.4, "source": "derived", "signal_type": null, "entity_id": "pattaya-chonburi", "used_default": false, "default_reason": "", "note": "" }, { "key": "rain_fit", "label": "Rain fit", "score": 68, "weight": 0.1, "contribution": 6.8, "source": "signal", "signal_type": "rain_risk", "entity_id": "pattaya-chonburi", "used_default": true, "default_reason": "Food-route rain fit missing; using conservative fallback.", "note": "" }, { "key": "transport_fit", "label": "Transport fit", "score": 68, "weight": 0.1, "contribution": 6.8, "source": "signal", "signal_type": "transport_friction", "entity_id": "pattaya-chonburi", "used_default": false, "default_reason": "Food-route transport fit missing; using conservative fallback.", "note": "" }, { "key": "food_blueprint_baseline", "label": "Food blueprint baseline", "score": 71, "weight": 0.1, "contribution": 7.1, "source": "blueprint", "signal_type": null, "entity_id": "pattaya-chonburi", "used_default": false, "default_reason": "Food blueprint seed missing; using destination score fallback.", "note": "" } ], "penalty_components": [ { "key": "freshness_penalty", "label": "Freshness penalty", "freshness_class": "fresh", "points": 0, "applied": false, "note": "Signals are fresh enough that no freshness penalty applies." }, { "key": "coverage_penalty", "label": "Coverage penalty", "defaulted_components": 1, "points": 2, "applied": true, "note": "1 component(s) used fallback defaults, so the engine applies a 2-point coverage penalty." }, { "key": "contradiction_penalty", "label": "Food-route contradiction penalty", "points": 9, "applied": true, "spread": 46, "note": "Component scores spread by 46 points, so the engine treats the answer as more contradictory." } ], "fallback_used": true, "fallback_components": [ "rain_fit" ], "source_summary": "8 joined sources support this decision.", "path": "/where-to-go/pattaya-chonburi/", "computed_at": "2026-06-24T02:15:12.974Z", "expires_at": "2026-06-24T14:15:23.481Z" }, { "decision_id": "food_hua-hin", "decision_type": "food_route", "subject_id": "hua-hin", "subject_name": "Hua Hin / Cha-am", "subject_type": "destination", "score": 58, "component_score": 68.9, "penalty_points": 11, "confidence": "Medium", "label": "mixed", "recommendation": "Hua Hin / Cha-am works better as a supporting food move than the main food trip answer.", "best_for": "Seafood, night markets, resort-town comfort food, and gentler family-paced coast eating.", "avoid_if": "You expect city-level restaurant density or nightlife to solve the whole evening plan.", "check_first": [ "Choose the exact beach-town base before paying.", "Treat rail and road convenience as part of the value, not just background logistics." ], "next_action": "Choose the market or beach-town zone first, then keep one easy indoor or hotel fallback in reserve.", "pivot": "Use Bangkok if the trip turns food-first rather than coast-first.", "freshness_class": "fresh", "score_formula_version": "signal-first-v2", "signal_coverage": { "total_components": 6, "available_components": 5, "live_components": 2, "fallback_components": 3, "defaulted_components": 1, "coverage_ratio": 0.833 }, "score_components": [ { "key": "destination_fit", "label": "Destination fit", "score": 49, "weight": 0.26, "contribution": 12.74, "source": "decision", "signal_type": null, "entity_id": null, "used_default": false, "default_reason": "Destination decision missing; using conservative fallback.", "note": "" }, { "key": "local_confidence", "label": "Local source confidence", "score": 97, "weight": 0.16, "contribution": 15.52, "source": "signal", "signal_type": "source_confidence", "entity_id": "hua-hin", "used_default": false, "default_reason": "Food-route source confidence missing; using conservative fallback.", "note": "" }, { "key": "local_comfort", "label": "Local comfort", "score": 70, "weight": 0.12, "contribution": 8.4, "source": "derived", "signal_type": null, "entity_id": "hua-hin", "used_default": false, "default_reason": "", "note": "" }, { "key": "rain_fit", "label": "Rain fit", "score": 68, "weight": 0.1, "contribution": 6.8, "source": "signal", "signal_type": "rain_risk", "entity_id": "hua-hin", "used_default": true, "default_reason": "Food-route rain fit missing; using conservative fallback.", "note": "" }, { "key": "transport_fit", "label": "Transport fit", "score": 70, "weight": 0.1, "contribution": 7, "source": "signal", "signal_type": "transport_friction", "entity_id": "hua-hin", "used_default": false, "default_reason": "Food-route transport fit missing; using conservative fallback.", "note": "" }, { "key": "food_blueprint_baseline", "label": "Food blueprint baseline", "score": 74, "weight": 0.1, "contribution": 7.4, "source": "blueprint", "signal_type": null, "entity_id": "hua-hin", "used_default": false, "default_reason": "Food blueprint seed missing; using destination score fallback.", "note": "" } ], "penalty_components": [ { "key": "freshness_penalty", "label": "Freshness penalty", "freshness_class": "fresh", "points": 0, "applied": false, "note": "Signals are fresh enough that no freshness penalty applies." }, { "key": "coverage_penalty", "label": "Coverage penalty", "defaulted_components": 1, "points": 2, "applied": true, "note": "1 component(s) used fallback defaults, so the engine applies a 2-point coverage penalty." }, { "key": "contradiction_penalty", "label": "Food-route contradiction penalty", "points": 9, "applied": true, "spread": 48, "note": "Component scores spread by 48 points, so the engine treats the answer as more contradictory." } ], "fallback_used": true, "fallback_components": [ "rain_fit" ], "source_summary": "9 joined sources support this decision.", "path": "/where-to-go/hua-hin/", "computed_at": "2026-06-24T02:15:12.974Z", "expires_at": "2026-06-24T14:15:23.481Z" } ] }