{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003889779,0.00009486468,0.0001162783,0.00005020865,0.00004413828,0.000006736304,0.00003954783,0.0000624977,0.00003314646],"category_scores_gemma":[0.000008741779,0.00009545052,0.00003539442,0.00008543432,0.00001929159,0.0002367815,0.00001561119,0.0000704276,0.00001315863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000501503,"about_ca_system_score_gemma":0.00001405242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.757303e-7,"about_ca_topic_score_gemma":0.000001200723,"domain_scores_codex":[0.9993277,0.00002471486,0.0002761891,0.00009175704,0.0001110057,0.0001686196],"domain_scores_gemma":[0.9997882,0.00001311556,0.00003642798,0.000103352,0.00001693274,0.0000420227],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00004096065,0.0003039192,0.01119216,0.0007125351,0.0001044706,2.357384e-7,0.004651656,0.01635659,0.008359222,0.001307181,0.0002083646,0.9567627],"study_design_scores_gemma":[0.00129213,0.0001309306,0.7697897,0.0003654996,0.0001500348,0.0000132771,0.0006149431,0.01045025,0.2052497,0.0001334197,0.01089246,0.0009176777],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941783,0.0001208479,0.00460289,0.0000034887,0.0002784498,0.0001750503,0.000002069505,0.0001919895,0.0004469422],"genre_scores_gemma":[0.9937342,0.00002051875,0.006088704,0.000001435045,0.00005486727,0.00001488853,0.00001386813,0.00001248468,0.00005896648],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9558451,"threshold_uncertainty_score":0.3892359,"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."}}