{"id":"W3197573936","doi":"10.3390/safety7030063","title":"Ride in Peace: How Cycling Infrastructure Types Affect Traffic Conflict Occurrence in Montréal, Canada","year":2021,"lang":"en","type":"article","venue":"Safety","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Cycling; Pedestrian; Transport engineering; Poison control; Traffic congestion; Logit; Human factors and ergonomics; Affect (linguistics); Injury prevention; Engineering; Geography; Environmental health; Psychology; Econometrics; Economics","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":[0.0003897492,0.0001082368,0.0002100184,0.00003549926,0.0001477238,0.00004463207,0.0001916692,0.00009194559,0.0001860621],"category_scores_gemma":[0.0002128549,0.0001066068,0.00004126769,0.0005407406,0.00009208988,0.0001712981,0.00001790089,0.0002924819,0.000001489481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002808043,"about_ca_system_score_gemma":0.001425595,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5287986,"about_ca_topic_score_gemma":0.9955803,"domain_scores_codex":[0.9987541,0.0001569231,0.0001961135,0.0002860868,0.0002742244,0.0003324901],"domain_scores_gemma":[0.9995134,0.0001441235,0.0000542831,0.0001565412,0.00004435019,0.00008731313],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004693721,0.00004333375,0.9686374,0.0000432284,0.000009499347,0.0002112376,0.006321977,0.002546343,0.00007058767,0.0001516486,0.003023631,0.01889415],"study_design_scores_gemma":[0.0003298205,0.000004269869,0.9471945,0.00004862277,0.000005738441,3.381226e-7,0.002474257,0.0001373045,0.0000813415,0.0000565213,0.04950913,0.000158154],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925923,0.002352095,0.000009205431,0.001957264,0.0003606735,0.0001431677,0.00006232216,0.0000247978,0.002498169],"genre_scores_gemma":[0.9991868,0.00032931,0.00004908948,0.0001190902,0.00007224657,0.000003832492,0.00003249828,0.000004247212,0.0002028531],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4667816,"threshold_uncertainty_score":0.4743391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01186572238601157,"score_gpt":0.2639878818084681,"score_spread":0.2521221594224565,"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."}}