{"id":"W3119185758","doi":"10.1016/j.aap.2020.105948","title":"Characteristics of cyclist collisions in Ireland: Analysis of a self-reported survey","year":2021,"lang":"en","type":"article","venue":"Accident Analysis & Prevention","topic":"Traffic and Road Safety","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trinity College","funders":"","keywords":"Collision; Poison control; Transport engineering; Pedestrian; Odds; Injury prevention; Logistic regression; Human factors and ergonomics; Engineering; Computer science; Computer security; Environmental health; Statistics; Medicine; Mathematics","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":[0.002317234,0.0002546668,0.0005994459,0.001786274,0.0004195565,0.000960213,0.0009354571,0.0006643273,0.001379863],"category_scores_gemma":[0.006999655,0.000604466,0.0008794038,0.002089433,0.000460641,0.0008240867,0.001475375,0.0006683007,0.0006009002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001770755,"about_ca_system_score_gemma":0.001414066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0403691,"about_ca_topic_score_gemma":0.03800155,"domain_scores_codex":[0.997291,0.0007597281,0.0004884484,0.0004358198,0.000592811,0.0004320737],"domain_scores_gemma":[0.9952904,0.0006367762,0.002355527,0.0003460994,0.0008635764,0.000507651],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006110745,0.00004613917,0.9981634,0.00002404197,0.00003097761,0.00005064391,0.0002653739,0.00005694831,0.0000654187,0.000007253614,0.0002251924,0.001003423],"study_design_scores_gemma":[0.0000024296,0.00007901972,0.9988964,0.000008660136,0.000005399435,0.00007941823,0.0006297172,0.0001086991,0.00001394151,0.000003408569,0.0001681887,0.000004760121],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971834,0.00007794265,0.0001576802,0.00004317394,0.000005289677,0.00007353609,0.001794929,0.000009782302,0.00065431],"genre_scores_gemma":[0.9970165,0.00008742364,0.000202222,0.00005528652,0.000007008409,0.0001357825,0.002185381,0.000008221527,0.0003021653],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0403691,"threshold_uncertainty_score":0.08026826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01352261547313687,"score_gpt":0.2628825251669948,"score_spread":0.249359909693858,"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."}}