{"id":"W4414170517","doi":"10.1109/atigb66719.2025.11142082","title":"Urban Intersection Collision Warning System Utilizing Traffic Surveillance Cameras","year":2025,"lang":"en","type":"article","venue":"","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Intersection (aeronautics); Collision; Collision avoidance; Warning system; Variety (cybernetics); Object (grammar); Active safety","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001648731,0.000112984,0.0001607103,0.0001422435,0.0001162337,0.00001499675,0.00010793,0.0001550729,0.00001250955],"category_scores_gemma":[0.00001336707,0.0001124411,0.00004211137,0.000298856,0.00002633074,0.00006455481,0.00002611891,0.0002233975,0.00003688517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002339155,"about_ca_system_score_gemma":0.00001428467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001584111,"about_ca_topic_score_gemma":0.00006334559,"domain_scores_codex":[0.9993869,0.00002290423,0.000202309,0.0001553064,0.00004700722,0.0001855526],"domain_scores_gemma":[0.9997193,0.00004912969,0.00001883512,0.0001715304,0.00002058207,0.00002065349],"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":[0.0001291521,0.00008881762,0.05246248,0.001488107,0.0005726627,0.00006089679,0.002283132,0.5839575,0.01473446,0.09506728,0.038078,0.2110775],"study_design_scores_gemma":[0.0003753926,0.00002732024,0.008952287,0.0001701474,0.0000115099,0.00001452772,0.00230144,0.9699628,0.00682068,0.00001299062,0.01110886,0.0002420728],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9180543,0.0003800307,0.03463398,0.00006538248,0.0007798377,0.0001318078,0.000001514322,0.003671308,0.04228188],"genre_scores_gemma":[0.9990969,0.00001700367,0.000212641,0.00001699758,0.00002189775,0.0000121208,0.000003544442,0.00001325325,0.0006056847],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3860053,"threshold_uncertainty_score":0.4585215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003774910752146329,"score_gpt":0.1931865831169932,"score_spread":0.1894116723648469,"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."}}