{"id":"W2094770180","doi":"10.1080/15389588.2011.645383","title":"Development and Validation of a Crash Culpability Scoring Tool","year":2012,"lang":"en","type":"article","venue":"Traffic Injury Prevention","topic":"Traffic and Road Safety","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; University of British Columbia","funders":"Michael Smith Health Research BC","keywords":"Culpability; Crash; Poison control; Engineering; Human factors and ergonomics; Computer science; Transport engineering; Computer security; Psychology; Medical emergency; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.07102212,0.001435098,0.001170658,0.0106291,0.002219255,0.003268854,0.006354351,0.001223148,0.00243344],"category_scores_gemma":[0.1544066,0.0008966124,0.001810186,0.00531955,0.00141997,0.003457556,0.003634049,0.001826469,0.001119117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00797176,"about_ca_system_score_gemma":0.02949147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1143519,"about_ca_topic_score_gemma":0.1265253,"domain_scores_codex":[0.9478133,0.01602782,0.009144267,0.003761096,0.021941,0.001312635],"domain_scores_gemma":[0.764744,0.04830498,0.007241562,0.01015668,0.1671325,0.002420251],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000614928,0.001712941,0.2059616,0.001356865,0.000304544,0.0005018321,0.00504352,0.01234417,0.008197112,0.004736428,0.03080542,0.7284207],"study_design_scores_gemma":[0.0007405839,0.003414043,0.6266083,0.00239821,0.0007754598,0.00120775,0.007001948,0.2238949,0.03035333,0.005051339,0.09757848,0.0009757611],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3410898,0.000854206,0.5773154,0.001985626,0.0006613498,0.04557324,0.008584055,0.005798276,0.01813795],"genre_scores_gemma":[0.1736742,0.0003154665,0.8058805,0.0002799448,0.00006503628,0.009968226,0.007319415,0.0003226985,0.002174439],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1143519,"threshold_uncertainty_score":0.3756053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01523428805600131,"score_gpt":0.2442769315331159,"score_spread":0.2290426434771146,"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."}}