{"id":"W7115807910","doi":"","title":"Spatiotemporal Deep Learning Models for Non-Recurring Congestion Prediction with Multiple Data Sources","year":2025,"lang":"en","type":"dissertation","venue":"MacSphere (McMaster University)","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Autoencoder; Deep learning; Graph; Process (computing); Predictive modelling; Traffic congestion; Crash; Data modeling","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004659778,0.0009069433,0.0003938764,0.0005164881,0.0001801912,0.0006078042,0.00130935,0.000575255,0.001695852],"category_scores_gemma":[0.001537613,0.0004219574,0.0006704837,0.0007116429,0.0002603971,0.001203273,0.0008177123,0.001716653,0.0003651071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009228451,"about_ca_system_score_gemma":0.0008995548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01743574,"about_ca_topic_score_gemma":0.02364748,"domain_scores_codex":[0.9998422,0.00002301828,0.00001107684,0.0000656308,0.00003195333,0.0000261014],"domain_scores_gemma":[0.9996636,0.0001470179,0.00005011999,0.00003069562,0.00009029786,0.00001816402],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006669593,0.00007419722,0.003079809,0.00007095035,0.00007652125,0.00007859683,0.00004919585,0.911469,0.002529506,0.006088147,0.001951703,0.07446557],"study_design_scores_gemma":[9.821345e-7,0.000004976416,0.000173091,0.000002779201,0.000004514111,0.000003681521,0.000002151672,0.9983397,0.0001999622,0.001108225,0.0001583644,0.000001546587],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1118567,0.001629746,0.8782966,0.0009136169,0.0001684677,0.00005277666,0.001762494,0.001692927,0.003626699],"genre_scores_gemma":[0.9185621,0.001110317,0.07176598,0.0001703745,0.0000844517,0.0001167398,0.002226081,0.00008402736,0.005879828],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01743574,"threshold_uncertainty_score":0.03466851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01821322117334163,"score_gpt":0.1993486121740979,"score_spread":0.1811353910007563,"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."}}