{"id":"W4379983938","doi":"10.1136/ip-2023-044884","title":"Blame attribution analysis of police motor vehicle collision reports involving child bicyclists","year":2023,"lang":"en","type":"article","venue":"Injury Prevention","topic":"Traffic and Road Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Spinal Cord Injury BC; Public Health Ontario; Alberta Health Services; SickKids Foundation; York University; Institut National de la Recherche Scientifique; Hospital for Sick Children; University of Guelph; University of British Columbia; Toronto Metropolitan University; University of Toronto; Institute for Clinical Evaluative Sciences; University of Calgary","funders":"","keywords":"Blame; Thematic analysis; Poison control; Collision; Injury prevention; Occupational safety and health; Officer; Human factors and ergonomics; Suicide prevention; Psychology; Applied psychology; Perception; Computer security; Engineering; Social psychology; Environmental health; Qualitative research; Medicine; Political science; Computer science; Law; Sociology","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":[0.005507647,0.0003652166,0.000319192,0.005144207,0.001823919,0.001921638,0.0007637808,0.0004834291,0.001452195],"category_scores_gemma":[0.032322,0.0002424977,0.0003165866,0.003473492,0.001273143,0.001195329,0.002919197,0.0007895886,0.0002244069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002367734,"about_ca_system_score_gemma":0.002686932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01371015,"about_ca_topic_score_gemma":0.02800279,"domain_scores_codex":[0.9954131,0.001776409,0.0006719778,0.0004132811,0.001315254,0.0004099421],"domain_scores_gemma":[0.9720543,0.01217569,0.008467814,0.001110249,0.005608921,0.0005830551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0002592746,0.00007306895,0.3952888,0.0013043,0.00004783208,0.001627346,0.5564931,0.0001961472,0.003039844,0.0007734648,0.002073826,0.03882301],"study_design_scores_gemma":[0.000004989355,0.00008612078,0.4836069,0.0007352653,0.00004199726,0.0009216886,0.5028577,0.000598806,0.001545241,0.0003520458,0.009188218,0.00006090047],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955955,0.000285314,0.001059935,0.0002182987,0.00002595185,0.0001903113,0.0008198073,0.00001947979,0.001785363],"genre_scores_gemma":[0.9940654,0.0005096149,0.003120406,0.00008160994,0.00002309102,0.0004060208,0.001029676,0.00002080001,0.0007433381],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01371015,"threshold_uncertainty_score":0.0291276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01016275376048333,"score_gpt":0.2585344321416152,"score_spread":0.2483716783811319,"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."}}