{"id":"W4200252759","doi":"10.1080/21635781.2021.2007186","title":"Risk Screening of Veterans Throughout the Life Course","year":2021,"lang":"en","type":"article","venue":"Military Behavioral Health","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Department of National Defence; Canadian Armed Forces; Veterans Affairs Canada","funders":"","keywords":"Logistic regression; Veterans Affairs; Risk assessment; Service member; Military service; Medicine; Military personnel; Psychology; Gerontology; Computer security; Computer science","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":[0.001329458,0.0002507169,0.0002522685,0.001210034,0.0008330938,0.0004137064,0.0004972236,0.0001768505,0.001451061],"category_scores_gemma":[0.004662697,0.0001514333,0.0004119107,0.001270841,0.0001620435,0.0002274685,0.0005502108,0.0005568752,0.0001327522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002678253,"about_ca_system_score_gemma":0.006045175,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5937536,"about_ca_topic_score_gemma":0.8023802,"domain_scores_codex":[0.9994381,0.0001404198,0.00005164437,0.00003916372,0.0001655137,0.0001652052],"domain_scores_gemma":[0.9987418,0.0001502833,0.0003389886,0.00007824737,0.0004746072,0.0002161743],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005762208,0.00007410523,0.9746805,0.00003575929,0.00002047016,0.00005712151,0.0007772322,0.0001730151,0.0001204838,0.0001555455,0.001425442,0.02242275],"study_design_scores_gemma":[0.000006682751,0.00009172372,0.9970466,0.00005482728,0.00001408364,0.00006208634,0.0005460393,0.0005432394,0.0001193892,0.0001093012,0.001399302,0.000006729207],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937366,0.0006200679,0.0006578462,0.0006510079,0.00001980083,0.0002579267,0.001476674,0.00002676708,0.002553189],"genre_scores_gemma":[0.9946058,0.0005744469,0.001795658,0.0001016291,0.00001137276,0.0001517238,0.001251819,0.000004133813,0.001503245],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5937536,"threshold_uncertainty_score":0.8172777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1214799865407451,"score_gpt":0.4890849640185078,"score_spread":0.3676049774777627,"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."}}