{"id":"W2965354958","doi":"10.1007/s12144-019-00357-z","title":"Family snapshot: Characteristics of the economic and social environment and their associations with mental health in Canadian military personnel with a history of deployment","year":2019,"lang":"en","type":"article","venue":"Current Psychology","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Department of National Defence","funders":"","keywords":"Mental health; Psychology; Marital status; Social support; Software deployment; Odds; Mood; Gerontology; Environmental health; Psychiatry; Social psychology; Medicine; Engineering; Logistic regression; Population","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":[0.0007733738,0.0003412399,0.000298466,0.002592943,0.004719964,0.001143895,0.001236304,0.0006232279,0.004306054],"category_scores_gemma":[0.003073876,0.0003498663,0.0006988338,0.003636726,0.0005780741,0.0008801272,0.001551865,0.001017383,0.0003608832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0142965,"about_ca_system_score_gemma":0.02276576,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9859152,"about_ca_topic_score_gemma":0.9944037,"domain_scores_codex":[0.9993555,0.00005834259,0.00004400807,0.00006231064,0.0001180302,0.0003618002],"domain_scores_gemma":[0.9975539,0.00009150506,0.0003479935,0.00005328517,0.001065202,0.0008882031],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003791288,0.00004134523,0.9914954,0.00002003422,0.00003289191,0.0001763766,0.002619193,0.00004857004,0.00006594673,0.0000589179,0.002034592,0.003368795],"study_design_scores_gemma":[0.000001373057,0.00001449311,0.9906171,0.00002310871,0.00001328102,0.00007943518,0.008546268,0.00006127782,0.00002037484,0.00001643013,0.000596114,0.00001076398],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904888,0.0005586963,0.00007963506,0.0008770415,0.00003142045,0.00003898851,0.005366309,0.000008259241,0.002550795],"genre_scores_gemma":[0.9956814,0.0005391121,0.0001919575,0.0001921478,0.00001193668,0.00002799463,0.001813759,0.000005316276,0.001536299],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0142965,"threshold_uncertainty_score":0.1037289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04176219151758447,"score_gpt":0.3327691714775085,"score_spread":0.291006979959924,"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."}}