{"id":"W2067430749","doi":"10.1016/j.aap.2015.04.021","title":"Traumatic brain injury, driver aggression and motor vehicle collisions in Canadian adults","year":2015,"lang":"en","type":"article","venue":"Accident Analysis & Prevention","topic":"Traffic and Road Safety","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University; Centre for Addiction and Mental Health","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Industry Canada; Ontario Neurotrauma Foundation","keywords":"Poison control; Injury prevention; Traumatic brain injury; Occupational safety and health; Population; Medicine; Aggression; Suicide prevention; Young adult; Concussion; Mental health; Psychiatry; Demography; Psychology; Gerontology; Medical emergency; Environmental health","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003247359,0.0001143722,0.0002037323,0.0005272846,0.00005546155,0.00003361899,0.00009534156,0.00009032712,0.00007688173],"category_scores_gemma":[0.0000440308,0.0001101245,0.0000990633,0.0007183123,0.00001229673,0.0002250813,0.00002121432,0.0001004956,0.00002897671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002103421,"about_ca_system_score_gemma":0.00004592473,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03415928,"about_ca_topic_score_gemma":0.767951,"domain_scores_codex":[0.9990892,0.00006498284,0.0002781751,0.0001714851,0.000164387,0.0002317646],"domain_scores_gemma":[0.9994654,0.00002509616,0.00004242347,0.0001672785,0.00003180462,0.0002679755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002670212,0.00004343851,0.9437239,0.000006836281,0.0002504369,0.0000112467,0.001669892,0.02166229,0.0001100554,0.0000437697,0.00176798,0.0306835],"study_design_scores_gemma":[0.0004870862,0.00003101161,0.8125605,0.0001340244,0.0001900147,7.89299e-7,0.0003226713,0.1856256,0.00003436976,0.0001102033,0.000364658,0.0001391468],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983168,0.0005348686,0.0004703408,0.0001695194,0.00008405381,0.0001847219,0.000001388662,0.00006280426,0.0001755583],"genre_scores_gemma":[0.9993295,0.0001549455,0.0001689187,0.00001871675,0.00002486375,0.00001775082,0.00005438315,0.00001241175,0.0002184907],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7337917,"threshold_uncertainty_score":0.9722723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01268353543409485,"score_gpt":0.2592903036753921,"score_spread":0.2466067682412973,"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."}}