{"id":"W4414116777","doi":"10.1109/tkde.2025.3609302","title":"Flexible Keyword-Aware Top-$k$k Route Search","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Knowledge and Data Engineering","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Science Foundation of Shandong Province; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Process (computing); Sequence (biology); Route planning; Semantics (computer science); Point of interest","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009193477,0.001497227,0.002297961,0.001658791,0.001051486,0.00211139,0.002989142,0.001653213,0.005234547],"category_scores_gemma":[0.005349002,0.0007628963,0.001570717,0.002841177,0.0006554436,0.004431242,0.003248558,0.001143536,0.003052084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008993243,"about_ca_system_score_gemma":0.001650138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007964812,"about_ca_topic_score_gemma":0.01937377,"domain_scores_codex":[0.998259,0.0003539989,0.0001933085,0.0005046014,0.0004718151,0.0002173412],"domain_scores_gemma":[0.9975932,0.0009357628,0.0001970059,0.0007205647,0.0004132098,0.0001401116],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001783096,0.0006409606,0.008869327,0.001440377,0.0004122765,0.001233537,0.001437651,0.3342871,0.05175912,0.02750499,0.04807873,0.5225528],"study_design_scores_gemma":[0.00008142105,0.0001942849,0.0007493712,0.00002303744,0.00007671417,0.000661186,0.0005612146,0.9505915,0.01140444,0.0277558,0.007831033,0.00006987583],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0825481,0.001365596,0.887858,0.0005816062,0.00009547752,0.0003675386,0.003606135,0.01733654,0.006241159],"genre_scores_gemma":[0.4793336,0.0003578794,0.5081404,0.0002888191,0.00005323355,0.0001804068,0.006286445,0.001266432,0.004092794],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007964812,"threshold_uncertainty_score":0.01751131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02894858148563181,"score_gpt":0.291908154469822,"score_spread":0.2629595729841903,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}