{"id":"W4406226984","doi":"10.1016/j.trpro.2024.12.089","title":"Cyclist Overtaking Safety Study Using Video Data","year":2025,"lang":"en","type":"article","venue":"Transportation research procedia","topic":"Traffic and Road Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique; Polytechnique Montréal","funders":"","keywords":"Overtaking; Transport engineering; Computer science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003831322,0.0004321103,0.0002679272,0.003296598,0.0004704809,0.0005400445,0.0003935141,0.000467312,0.001646717],"category_scores_gemma":[0.001508108,0.000102032,0.0002456031,0.002105969,0.0002534435,0.0003214439,0.000273288,0.0002678786,0.0005258993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001073097,"about_ca_system_score_gemma":0.00105154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2942421,"about_ca_topic_score_gemma":0.3857305,"domain_scores_codex":[0.9995622,0.00004979529,0.00002540701,0.0001300228,0.000151908,0.00008066956],"domain_scores_gemma":[0.9987072,0.0002068361,0.0001172767,0.00007968197,0.0007752526,0.0001137966],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001238227,0.001764968,0.6972942,0.0007427632,0.0003709959,0.003837121,0.004726266,0.02084561,0.0368602,0.0009577042,0.01074254,0.2206194],"study_design_scores_gemma":[0.000035275,0.0006362014,0.9281042,0.00006472818,0.0001101212,0.0005733656,0.005804192,0.04790727,0.009324891,0.000142373,0.007237787,0.00005954805],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891787,0.0001010894,0.002209027,0.0000413575,0.00001419682,0.0001515509,0.004944103,0.0001660382,0.003194022],"genre_scores_gemma":[0.9862519,0.0001454653,0.003569146,0.00001410922,0.00001256536,0.00005597061,0.00779424,0.00002000312,0.002136569],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2942421,"threshold_uncertainty_score":0.5850589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1141841949940408,"score_gpt":0.4072229372504561,"score_spread":0.2930387422564154,"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."}}