{"id":"W3021524749","doi":"10.1177/0361198120919407","title":"Observational Study of Pedestrian and Cyclist Interactions at Intersections in Vancouver, BC and Montréal, QC","year":2020,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique; Simon Fraser University","funders":"","keywords":"Pedestrian; Transport engineering; Phone; Pace; Cycling; Pedestrian crossing; Observational study; Geography; Computer science; Engineering; Mathematics; Statistics","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":[0.0005106776,0.0004849512,0.0005032303,0.001179373,0.003421393,0.001039279,0.001268175,0.0005150224,0.002020433],"category_scores_gemma":[0.001815006,0.0004942841,0.0002708515,0.002879902,0.000714875,0.0003345282,0.001129569,0.0007131002,0.0004147358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01089774,"about_ca_system_score_gemma":0.009761325,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9729491,"about_ca_topic_score_gemma":0.9901736,"domain_scores_codex":[0.9990061,0.0001618577,0.00004702231,0.0002054023,0.0003402811,0.0002394122],"domain_scores_gemma":[0.9978667,0.0001072766,0.0003133412,0.00006101046,0.0009969501,0.0006548007],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007993521,0.0001536318,0.9900995,0.0000463821,0.00006875152,0.0003976184,0.003168223,0.0001190676,0.0004521068,0.00004585997,0.001651063,0.003717814],"study_design_scores_gemma":[0.000004877513,0.00004511859,0.9956474,0.0000184625,0.00001099147,0.00007234327,0.002863267,0.0001572363,0.00004029697,0.000008598216,0.001119877,0.0000116248],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946311,0.0003052247,0.0001975901,0.00009084988,0.00001109734,0.0001291343,0.002173882,0.000009880428,0.002451157],"genre_scores_gemma":[0.9964126,0.0003252921,0.0003069875,0.00008934738,0.000009239565,0.00007647406,0.001338695,0.000007690142,0.001433668],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02705085,"threshold_uncertainty_score":0.07906902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2394468109518914,"score_gpt":0.4412847431014408,"score_spread":0.2018379321495494,"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."}}