{"id":"W2605949860","doi":"10.1177/084456211504700302","title":"The Mental Health of those who Serve Canada","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Nursing Research","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Armed Forces","funders":"","keywords":"Mental health; Data science; Psychology; Management science; Computer science; Engineering; Psychiatry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0006699379,0.0002318031,0.0003758696,0.0007611684,0.01160386,0.003250298,0.001296373,0.001466804,0.007660863],"category_scores_gemma":[0.00379075,0.0003052776,0.0004931622,0.002212313,0.001998635,0.00140843,0.002268969,0.003355681,0.0004864763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04341025,"about_ca_system_score_gemma":0.1073324,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9919482,"about_ca_topic_score_gemma":0.9974903,"domain_scores_codex":[0.997941,0.0002129988,0.00003768033,0.00006422221,0.0003068502,0.001437233],"domain_scores_gemma":[0.9945552,0.0001799998,0.0004256228,0.00005117973,0.001312996,0.003474897],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002359487,0.0004726827,0.7489963,0.00030821,0.0001723052,0.0008809695,0.04434988,0.0001904607,0.0004866744,0.004574493,0.1123845,0.08694761],"study_design_scores_gemma":[0.00004107877,0.0001505265,0.7074388,0.0007454032,0.00007539772,0.0003505696,0.2349495,0.0001926491,0.00009969789,0.001070171,0.05480012,0.00008614632],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8497164,0.009348555,0.0001070598,0.1069866,0.001085269,0.000105385,0.001428147,0.00001714909,0.03120552],"genre_scores_gemma":[0.9635414,0.008109206,0.0001594448,0.01876688,0.0001882044,0.00004783487,0.0004333695,0.00001398386,0.00873961],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04341025,"threshold_uncertainty_score":0.3149649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1898662158833143,"score_gpt":0.4837076833679413,"score_spread":0.293841467484627,"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."}}