{"id":"W7136542042","doi":"10.1109/itsc60802.2025.11423738","title":"ForeCAST-GAT: Context-Aware Spatio-Temporal Graph Attention Transformer for Event-Driven Traffic Forecasting","year":2025,"lang":"","type":"article","venue":"","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Graph; Transformer; Air traffic control; Minification; Artificial neural network","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003585636,0.0008213178,0.0007757365,0.001189908,0.000350456,0.0005335655,0.001525149,0.0005524892,0.004931188],"category_scores_gemma":[0.001524564,0.0003227145,0.0006300416,0.001042001,0.0001830385,0.001260831,0.001003664,0.001117413,0.001360744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000653241,"about_ca_system_score_gemma":0.001163854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02648714,"about_ca_topic_score_gemma":0.03996377,"domain_scores_codex":[0.999832,0.00001955272,0.000009172642,0.00005940576,0.00005094573,0.00002892479],"domain_scores_gemma":[0.9996715,0.0001244203,0.00002134875,0.00005966441,0.00008507807,0.00003803029],"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":[0.0006639291,0.0004563063,0.003567124,0.0002390688,0.0001596611,0.0002444014,0.0001382102,0.1656002,0.02848634,0.01065582,0.03984254,0.7499464],"study_design_scores_gemma":[0.00001343114,0.00002338863,0.0003555207,0.000005356828,0.00001818653,0.00002820992,0.00001332147,0.9901723,0.003156223,0.004262269,0.001943583,0.000008042226],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01981664,0.0005841361,0.9491938,0.0001754189,0.0002192924,0.0001164899,0.001992692,0.02576363,0.002137932],"genre_scores_gemma":[0.5971998,0.0006941641,0.3899868,0.000353478,0.0001569021,0.0001983062,0.005478232,0.001052877,0.004879449],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02648714,"threshold_uncertainty_score":0.05266595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02075016582688296,"score_gpt":0.2489255604260473,"score_spread":0.2281753945991643,"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."}}