{"id":"W7018284378","doi":"","title":"Demographic and population-based analysis of traumatic injury transport outcomes and health-care infrastructure in Northern QuÃ©bec's rural communities","year":2014,"lang":"en","type":"other","venue":"eScholarship@McGill (McGill)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Major trauma; Rural area; Northern italy; Population; Trauma centre; Northern territory; Occupational safety and health; Injury prevention; Public health","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":[0.00055468,0.0002268432,0.0002135204,0.001261812,0.00160069,0.0007005128,0.0006970529,0.0003262152,0.003350847],"category_scores_gemma":[0.001641456,0.0001567874,0.0002239075,0.002774177,0.0005418166,0.0003452816,0.0006503412,0.0003711409,0.0003162991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00884063,"about_ca_system_score_gemma":0.008027459,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9540787,"about_ca_topic_score_gemma":0.9694159,"domain_scores_codex":[0.9995089,0.00007463313,0.00003370083,0.00008272084,0.0001380594,0.0001619744],"domain_scores_gemma":[0.9981847,0.0001455744,0.000472055,0.00006011238,0.0007025969,0.0004348136],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003414838,0.00002328269,0.996025,0.00001972012,0.00001952259,0.00005180324,0.0005917067,0.00009919259,0.00007815547,0.00003990923,0.001411131,0.00160647],"study_design_scores_gemma":[0.000002389638,0.00001431834,0.9983797,0.00001296639,0.000003830345,0.00002545199,0.0009474145,0.0001030604,0.00001372122,0.000005932685,0.0004877319,0.000003517595],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909528,0.0001393803,0.00009271183,0.0001971918,0.00000683769,0.00006447224,0.006099507,0.000006279747,0.00244086],"genre_scores_gemma":[0.995616,0.0001265161,0.000134296,0.00008236614,0.000005866802,0.00008826052,0.003181578,0.000002811601,0.0007623891],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04592133,"threshold_uncertainty_score":0.0923835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01299965388264434,"score_gpt":0.255534171748521,"score_spread":0.2425345178658767,"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."}}