{"id":"W2922601745","doi":"10.1093/milmed/usy353","title":"More Than Just Counting Deaths: The Evolution of Suicide Surveillance in the Canadian Armed Forces","year":2019,"lang":"en","type":"article","venue":"Military Medicine","topic":"Suicide and Self-Harm Studies","field":"Psychology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Department of National Defence","funders":"","keywords":"Suicide prevention; Portfolio; Military personnel; Environmental health; Medicine; Population; Poison control; Occupational safety and health; Medical emergency; Psychology; Political science; Business; Finance; Pathology","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":[0.04613202,0.0005611711,0.0007882869,0.01864497,0.00498462,0.006716051,0.004323477,0.0007472254,0.001049436],"category_scores_gemma":[0.1281244,0.0007039742,0.0008623321,0.02754809,0.003423884,0.002580443,0.003918092,0.001761094,0.0001222457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08026445,"about_ca_system_score_gemma":0.1214869,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9932463,"about_ca_topic_score_gemma":0.9948173,"domain_scores_codex":[0.9637788,0.01047954,0.003423701,0.001921194,0.01874422,0.001652618],"domain_scores_gemma":[0.8661097,0.01914012,0.008363649,0.004231137,0.09878708,0.003368266],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001898531,0.00006291115,0.5577071,0.002716268,0.0005238837,0.0001702258,0.03384355,0.0007762407,0.0004926332,0.00739904,0.01724236,0.378876],"study_design_scores_gemma":[0.00001857738,0.00009666433,0.9335852,0.002919704,0.0002465963,0.0001182916,0.01757769,0.0009055975,0.0004785554,0.0006771389,0.04321809,0.0001579716],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6939816,0.1216182,0.008403762,0.08371115,0.001579811,0.00142008,0.01639332,0.0003342394,0.0725579],"genre_scores_gemma":[0.9171415,0.05526507,0.01509945,0.003415477,0.000276981,0.0003836101,0.005753661,0.00009764454,0.002566662],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08026445,"threshold_uncertainty_score":0.5823621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03149560866608502,"score_gpt":0.3108101194524193,"score_spread":0.2793145107863342,"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."}}