{"id":"W2990908851","doi":"10.23889/ijpds.v4i3.1226","title":"Mortality of Canadian military personnel over 40 years","year":2019,"lang":"en","type":"article","venue":"International Journal for Population Data Science","topic":"Trauma and Emergency Care Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Veterans Affairs Canada","funders":"","keywords":"Medicine; Demography; Population; Cause of death; Military service; Cohort; Mortality rate; Record linkage; Military personnel; Standardized mortality ratio; Disease; Environmental health; Gerontology; Surgery; Geography; Internal medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006036009,0.0006814389,0.0004454602,0.003822384,0.001976918,0.0008667904,0.001415757,0.0004744194,0.004770513],"category_scores_gemma":[0.002709914,0.0002661722,0.0009581895,0.005317635,0.0003992047,0.0004167409,0.0009396296,0.0006685478,0.0005972704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02507276,"about_ca_system_score_gemma":0.02678345,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9944226,"about_ca_topic_score_gemma":0.9945526,"domain_scores_codex":[0.9989969,0.00003517668,0.00004447894,0.0001589786,0.000437189,0.0003273766],"domain_scores_gemma":[0.9987999,0.00002860777,0.0002577202,0.00003378514,0.0006347622,0.0002451366],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000150108,0.00002168061,0.954605,0.000189686,0.0001784422,0.0001711032,0.0006708875,0.000363443,0.0001319101,0.0003345536,0.02786522,0.01531805],"study_design_scores_gemma":[0.00001009034,0.00001967068,0.9920012,0.0001094449,0.00005094141,0.0001144715,0.0004875097,0.0002399842,0.00004414013,0.00005992424,0.006839026,0.00002366952],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7484236,0.01174872,0.0004085355,0.003109796,0.0002489483,0.0001830911,0.2088917,0.000177242,0.02680849],"genre_scores_gemma":[0.9346757,0.007629251,0.0004301164,0.0005988696,0.0001112697,0.0001237059,0.05270043,0.00002537531,0.003705193],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02507276,"threshold_uncertainty_score":0.1819165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09449596609712127,"score_gpt":0.3987046850499737,"score_spread":0.3042087189528524,"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."}}