{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001729859,0.0001691634,0.0002562721,0.0002697046,0.0001720272,0.00005794556,0.0001084139,0.0001198295,0.0007434873],"category_scores_gemma":[0.00002226605,0.000151339,0.0003149857,0.0004658821,0.0000326392,0.000292701,0.0000589794,0.0002051247,0.0000351936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006075153,"about_ca_system_score_gemma":0.000007162961,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003140464,"about_ca_topic_score_gemma":0.03003293,"domain_scores_codex":[0.9990805,0.00004275908,0.0002937339,0.0002356291,0.0001600954,0.0001872599],"domain_scores_gemma":[0.9995236,0.00003575547,0.00006248128,0.0002420858,0.00003480866,0.0001012048],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001028307,0.00003528646,0.9687864,0.000003563011,0.0008156039,0.000001053806,0.0003079558,0.0009453063,0.02382884,0.00002190775,0.0001248139,0.005118935],"study_design_scores_gemma":[0.0002469705,0.00001722693,0.9843639,0.000006931456,0.0008742575,0.000001480926,0.0001045376,0.01155683,0.002130528,0.00008813191,0.0004399594,0.0001692132],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950773,0.0001401271,0.003691373,0.00003152205,0.000351808,0.0001428983,9.741461e-7,0.0002832481,0.000280801],"genre_scores_gemma":[0.99891,0.00008236029,0.0001549623,0.000004695438,0.00007284289,0.00001253456,0.00005071148,0.00001755549,0.0006943062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02971888,"threshold_uncertainty_score":0.9876664,"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."}}