{"id":"W2053203959","doi":"10.1016/j.aap.2010.11.005","title":"Road factors and bicycle–motor vehicle crashes at unsignalized priority intersections","year":2010,"lang":"en","type":"article","venue":"Accident Analysis & Prevention","topic":"Traffic and Road Safety","field":"Engineering","cited_by":160,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of Transportation of Ontario","funders":"","keywords":"Transport engineering; Carriageway; Intersection (aeronautics); Poison control; Crash; Negative binomial distribution; Human factors and ergonomics; Injury prevention; Engineering; Vehicle type; Occupational safety and health; Statistics; Mathematics; Computer science; Environmental health; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0002718605,0.0003311154,0.0002907426,0.001114728,0.0007533575,0.0007986355,0.000384053,0.0005816284,0.005342172],"category_scores_gemma":[0.002481746,0.0002927796,0.0005457378,0.0009562215,0.0002244153,0.0005837078,0.0005283139,0.0005630063,0.0005512593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005619405,"about_ca_system_score_gemma":0.000788521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05146762,"about_ca_topic_score_gemma":0.0520364,"domain_scores_codex":[0.9995659,0.0001109818,0.00003522828,0.00005601641,0.00006727568,0.0001645423],"domain_scores_gemma":[0.9984304,0.0003947926,0.0003285004,0.00006985904,0.0003157929,0.0004605894],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009368536,0.0001988858,0.9953473,0.00001463225,0.00007553989,0.0001425309,0.0002560004,0.0002084806,0.000407051,0.00005014704,0.0001345417,0.002227981],"study_design_scores_gemma":[0.000005766904,0.000122927,0.9988462,0.00000361693,0.00002905189,0.00005885339,0.0005111792,0.0002144659,0.00006686706,0.00003353247,0.0001038213,0.000003677527],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993054,0.00006030914,0.00004752717,0.00001519433,0.000003687057,0.000003677029,0.00009441176,0.000002767643,0.0004671308],"genre_scores_gemma":[0.9994766,0.00002892667,0.00002549568,0.00000445999,0.000005577795,0.0000022312,0.0001131619,0.00000222004,0.0003412413],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05146762,"threshold_uncertainty_score":0.1023361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007140104747775902,"score_gpt":0.2340242457744685,"score_spread":0.2268841410266926,"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."}}