{"id":"W783488864","doi":"10.1177/070674371506000407","title":"Military Deployments, Posttraumatic Stress Disorder, and Suicide Risk in Canadian Armed Forces Personnel and Veterans","year":2015,"lang":"en","type":"letter","venue":"The Canadian Journal of Psychiatry","topic":"Suicide and Self-Harm Studies","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministère de la Défense Nationale; U.S. Department of Veterans Affairs","keywords":"Suicide prevention; Military personnel; Military service; Population; Software deployment; Poison control; Military deployment; Psychiatry; Human factors and ergonomics; Suicidal ideation; Injury prevention; Occupational safety and health; Psychology; Risk factor; Medicine; Medical emergency; Environmental health; Political science; Engineering; Law","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"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":[0.002385164,0.0006643292,0.001169162,0.001848695,0.001892426,0.00239297,0.003220208,0.004440605,0.003107786],"category_scores_gemma":[0.0185363,0.0004963966,0.0005764241,0.001991129,0.001373457,0.001315647,0.0005931265,0.005497178,0.0006122178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006353559,"about_ca_system_score_gemma":0.01111869,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4867089,"about_ca_topic_score_gemma":0.5492659,"domain_scores_codex":[0.9988514,0.0001357925,0.0001501162,0.0001264821,0.0005508282,0.0001852844],"domain_scores_gemma":[0.9890722,0.002246487,0.001149854,0.000130624,0.005983193,0.001417715],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002243188,0.0000613688,0.03388084,0.0008564627,0.0001904546,0.0007080948,0.0006858837,0.00005887968,0.00006228893,0.0003422646,0.9338754,0.02905375],"study_design_scores_gemma":[0.0003878182,0.0003710446,0.3023589,0.008602646,0.001046282,0.004930826,0.005402031,0.002029921,0.0003141618,0.001451478,0.6727783,0.0003266517],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01971583,0.1302224,0.0001666832,0.6737719,0.1716576,0.00006193949,0.001684881,0.00007284751,0.002645944],"genre_scores_gemma":[0.1908946,0.1288588,0.000779814,0.2608503,0.4102562,0.0001225892,0.00102626,0.0001087816,0.007102689],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5132911,"threshold_uncertainty_score":0.9677519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02735974317980171,"score_gpt":0.2761679324681434,"score_spread":0.2488081892883416,"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."}}