{"id":"W4324309733","doi":"10.1001/jamanetworkopen.2023.3079","title":"Associations Between Natural Language Processing–Enriched Social Determinants of Health and Suicide Death Among US Veterans","year":2023,"lang":"en","type":"article","venue":"JAMA Network Open","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Institute of Nursing Research; National Institute on Drug Abuse; National Institute of Mental Health; National Institute on Aging; National Institutes of Health","keywords":"Psychosocial; Medicine; Cohort; Psychiatry; Health care; Gerontology; Demography; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002670025,0.0001670985,0.0006829337,0.0001276207,0.002790059,0.0000613934,0.0003862797,0.0002874174,0.00004486762],"category_scores_gemma":[0.0003240606,0.0001650334,0.00005911553,0.0007930734,0.00006997931,0.0004226453,0.0004743058,0.0007261358,0.00005153118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001569266,"about_ca_system_score_gemma":0.000561621,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01024018,"about_ca_topic_score_gemma":0.007703353,"domain_scores_codex":[0.9965857,0.001016752,0.000991219,0.0003022501,0.0002775599,0.0008265595],"domain_scores_gemma":[0.9979569,0.0006334609,0.0008827656,0.0001844875,0.0001495141,0.0001928637],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003467779,0.00001803373,0.9491175,0.0002394854,0.00002675177,0.000003287452,0.03046438,0.00001084578,7.78466e-7,0.0003093432,0.007520165,0.01225478],"study_design_scores_gemma":[0.00100378,0.00006635006,0.9918934,0.0004242752,0.00002803756,2.425549e-7,0.003572438,0.001480679,3.897619e-7,0.0005033556,0.0008754632,0.0001515621],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929475,0.0007098964,0.00001275207,0.002960332,0.0003470866,0.001386596,0.0002873798,0.0001227707,0.001225647],"genre_scores_gemma":[0.9962108,0.0000953601,0.0003419251,0.001297247,0.0007376144,0.00009336522,0.0005972594,0.00003164548,0.0005947446],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04277595,"threshold_uncertainty_score":0.9985082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2206943912430226,"score_gpt":0.5038101500410622,"score_spread":0.2831157587980396,"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."}}