{"id":"W3108287150","doi":"10.1177/0706743720974837","title":"Rationale and Methodology of the 2018 Canadian Armed Forces Members and Veterans Mental Health Follow-up Survey (CAFVMHS): A 16-year Follow-up Survey: Raison D’être Et Méthodologie De L’enquête De Suivi Sur La Santé Mentale Des Membres Des Forces Armées Canadiennes Et Des Anciens Combattants, 2018 (ESSMFACM)","year":2020,"lang":"en","type":"article","venue":"The Canadian Journal of Psychiatry","topic":"Posttraumatic Stress Disorder Research","field":"Psychology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Ottawa; Veterans Affairs Canada; University of Regina; University of Manitoba","funders":"Canadian Institutes of Health Research; True Patriot Love Foundation","keywords":"Mental health; Active duty; Military personnel; Occupational safety and health; Medicine; Psychiatry; Suicide prevention; Poison control; Psychology; Military deployment; Gerontology; Environmental health","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.1014664,0.00255549,0.001526696,0.008367418,0.007273495,0.003719388,0.007372854,0.002500959,0.008700603],"category_scores_gemma":[0.07065043,0.002283126,0.002185215,0.01155571,0.005293038,0.001714794,0.004255446,0.005287583,0.002487367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01869059,"about_ca_system_score_gemma":0.08608758,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5279436,"about_ca_topic_score_gemma":0.5832531,"domain_scores_codex":[0.9400509,0.03432153,0.006288318,0.005257959,0.01191406,0.002167313],"domain_scores_gemma":[0.9523691,0.00957998,0.003746395,0.005178716,0.02646075,0.002665101],"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":[0.00618101,0.004657213,0.1938822,0.01298809,0.0008078733,0.001367883,0.02354499,0.006103754,0.003310143,0.09154499,0.3465366,0.3090752],"study_design_scores_gemma":[0.004044423,0.003918404,0.3143437,0.01284778,0.001038287,0.0007267416,0.015586,0.008957221,0.003616324,0.02515865,0.6089056,0.0008569061],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"methods","genre_scores_codex":[0.02285479,0.002736872,0.07106571,0.008031812,0.003140189,0.8068079,0.06720369,0.0003550218,0.0178041],"genre_scores_gemma":[0.03104744,0.001262581,0.1298687,0.00544949,0.0005920535,0.8132416,0.01528438,0.00007938968,0.00317422],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4720564,"threshold_uncertainty_score":0.9496729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2232146295143223,"score_gpt":0.4125164488010221,"score_spread":0.1893018192866998,"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."}}