{"id":"W2106447099","doi":"10.1136/injuryprev-2014-041456","title":"Language and unintentional injury mortality in Quebec, Canada","year":2015,"lang":"en","type":"article","venue":"Injury Prevention","topic":"Emergency and Acute Care Studies","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de Santé Publique du Québec; Université de Montréal; McGill University; Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Injury prevention; Poison control; Occupational safety and health; Forensic engineering; Suicide prevention; Human factors and ergonomics; Medical emergency; Engineering; Environmental health; Medicine; Political science; Law","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001797412,0.00007403843,0.0001331969,0.00004671207,0.00002232197,0.000004684548,0.0000258904,0.00003533811,0.00006429918],"category_scores_gemma":[0.00009240809,0.00006801941,0.00002942551,0.0001047665,0.00003252324,0.00008859437,0.00003565376,0.00009430676,0.000002726759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001346099,"about_ca_system_score_gemma":0.000282739,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5918308,"about_ca_topic_score_gemma":0.9217011,"domain_scores_codex":[0.9993486,0.00004203765,0.0001791609,0.0001360169,0.0001846073,0.0001096016],"domain_scores_gemma":[0.9997066,0.000006699868,0.00003817744,0.0001000518,0.00007507721,0.0000734507],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004635112,0.0003249141,0.7324533,0.0002342081,0.0002614372,0.0001526812,0.001946674,0.000002043419,0.006237884,0.001929101,0.2148514,0.04114287],"study_design_scores_gemma":[0.0009196425,0.0001817077,0.9747561,0.0002023645,0.00009483588,0.000007803675,0.003894169,0.00002938196,0.001652251,0.001174881,0.01690198,0.0001848303],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952122,0.0009026892,0.00001660043,0.0006077343,0.0002909331,0.0001478136,0.00002251172,0.00001705292,0.002782464],"genre_scores_gemma":[0.9929514,0.00007383656,0.00005185883,0.0001741282,0.00008161557,0.00001346584,0.00006555828,0.000005570124,0.006582548],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3298703,"threshold_uncertainty_score":0.4108872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02287519805054452,"score_gpt":0.3279627970387519,"score_spread":0.3050875989882074,"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."}}