{"id":"W4413376283","doi":"10.3390/electronics14163329","title":"Road Accident Analysis and Prevention Using Autonomous Vehicles with Application for Montreal","year":2025,"lang":"en","type":"article","venue":"Electronics","topic":"Traffic and Road Safety","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Aeronautics; Transport engineering; Accident (philosophy); Accident analysis; Computer science; Engineering; Automotive engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005593871,0.00006818386,0.0001034326,0.00007987654,0.00005939701,0.00001468345,0.00003756715,0.0000420941,7.990654e-7],"category_scores_gemma":[0.000001325214,0.00006272258,0.00003691819,0.0002468299,0.000007158417,0.00004358153,0.000006065513,0.00005375744,2.988333e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001098927,"about_ca_system_score_gemma":0.00004042195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000248281,"about_ca_topic_score_gemma":0.001465803,"domain_scores_codex":[0.9996113,0.000005204471,0.00009265912,0.0001116211,0.0000370946,0.0001420841],"domain_scores_gemma":[0.9998457,0.00001092809,0.00001792475,0.00009210817,0.0000167885,0.00001652193],"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":[0.00004236167,0.00002328874,0.006643758,0.00003748807,0.0008120618,2.086503e-7,0.0001067551,0.3825755,0.001556891,0.001574646,0.00004589646,0.6065812],"study_design_scores_gemma":[0.0004539901,0.00005100403,0.1172206,0.00001019456,0.0007172563,0.000001273863,0.00002513206,0.8758926,0.002215632,0.0007325048,0.002554068,0.0001257789],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5179382,0.002439808,0.4791705,0.00002270558,0.00001140021,0.0001755356,9.824205e-7,0.00009555469,0.0001452931],"genre_scores_gemma":[0.997221,0.000221996,0.002343814,0.000006061966,0.00001552911,0.00003425182,0.00001985907,0.000008561434,0.0001289143],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6064554,"threshold_uncertainty_score":0.2557753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003768431855523309,"score_gpt":0.2256840503872305,"score_spread":0.2219156185317072,"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."}}