{"id":"W2482988617","doi":"","title":"Etiology of Motor Vehicle Collision Fatalities in Urban and Rural Canada","year":2016,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Traffic and Road Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Etiology; Collision; Motor vehicle crash; Rural area; Geography; Poison control; Business; Injury prevention; Environmental health; Computer security; Medicine; Computer science; Psychiatry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003535911,0.0004841092,0.000368065,0.003530378,0.004737399,0.001135533,0.001745398,0.0004095169,0.004438449],"category_scores_gemma":[0.00225338,0.0004275228,0.0004538491,0.004024565,0.00125027,0.0003733399,0.001878512,0.0006726137,0.0002319395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01888963,"about_ca_system_score_gemma":0.02895964,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9882173,"about_ca_topic_score_gemma":0.9915302,"domain_scores_codex":[0.9992504,0.00003632235,0.00003744273,0.0001167559,0.0002669006,0.0002921573],"domain_scores_gemma":[0.998522,0.00007484304,0.0003254688,0.00003894284,0.0006352401,0.0004035865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009864306,0.00005907951,0.988877,0.00004637407,0.00004119234,0.0005591722,0.001707966,0.0002353619,0.0003823224,0.0004149246,0.001305608,0.006272434],"study_design_scores_gemma":[0.000008781539,0.0000328478,0.9902326,0.0000395102,0.00001863589,0.0005038745,0.007346172,0.0005079265,0.00006975771,0.0001478964,0.001073708,0.00001833004],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927979,0.0007507561,0.0001535823,0.0004684225,0.00001504609,0.00007144514,0.001317138,0.00002263134,0.004403178],"genre_scores_gemma":[0.9975246,0.0006956153,0.0001236762,0.00005353997,0.000006652506,0.00001308609,0.0005611096,0.000007625317,0.001014142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01888963,"threshold_uncertainty_score":0.1370545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02787822000297073,"score_gpt":0.2307995264486554,"score_spread":0.2029213064456847,"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."}}