{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006097525,0.0004275128,0.0003330491,0.001284434,0.00397759,0.001897044,0.001783272,0.0006372286,0.00533762],"category_scores_gemma":[0.002815961,0.0002951428,0.0005179148,0.002178889,0.0009276452,0.0006264793,0.001081076,0.0006631833,0.0003486604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0326066,"about_ca_system_score_gemma":0.02363781,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.997391,"about_ca_topic_score_gemma":0.9990564,"domain_scores_codex":[0.9992422,0.0001151525,0.00003098443,0.0001314835,0.0002012093,0.0002790432],"domain_scores_gemma":[0.9982882,0.0001546651,0.0002396978,0.0000466587,0.0007668369,0.0005039088],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009141224,0.00009699095,0.9833682,0.00002503835,0.00007452323,0.0001068433,0.003657363,0.0005891072,0.0003332721,0.0003374047,0.002435282,0.008884592],"study_design_scores_gemma":[0.000004772442,0.00002710284,0.9910745,0.0000245988,0.00001818552,0.00001845324,0.006459231,0.0008872988,0.00006182609,0.00004254212,0.001359076,0.0000224437],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932448,0.0002417451,0.0001515565,0.000369211,0.00001035774,0.00005150743,0.00174591,0.00001432853,0.004170664],"genre_scores_gemma":[0.9963078,0.0001373238,0.0001718146,0.00004620839,0.000003465785,0.00002201673,0.0006481027,0.000007145244,0.002656188],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0326066,"threshold_uncertainty_score":0.2365786,"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."}}