{"id":"W4404573003","doi":"10.1097/mlr.0000000000002101","title":"Using Z Codes to Document Social Risk Factors in the Electronic Health Record","year":2024,"lang":"en","type":"article","venue":"Medical Care","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Work & Health; Toronto East General Hospital; University of Toronto","funders":"","keywords":"CINAHL; Diagnosis code; MEDLINE; Medicine; Health care; Family medicine; Psychology; Environmental health; Psychological intervention; Nursing; Political science; Population","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001536123,0.0001094254,0.0002159281,0.0001200939,0.001320164,0.00001788607,0.0002215086,0.0002029779,0.001068085],"category_scores_gemma":[0.0003361875,0.00007510567,0.00006230226,0.0004423745,0.00003908186,0.00005209658,0.00008187116,0.001698938,0.0001375494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001079006,"about_ca_system_score_gemma":0.001960432,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01355887,"about_ca_topic_score_gemma":0.04564412,"domain_scores_codex":[0.9968398,0.001150383,0.0004621244,0.0002320959,0.0005947981,0.0007208574],"domain_scores_gemma":[0.9990336,0.0004977172,0.00006263177,0.0001350711,0.00004300456,0.0002279551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005323706,0.00006257326,0.1070501,0.001861866,0.00003572212,0.00002818862,0.7327064,0.00002634241,7.692693e-7,0.07200614,0.05715451,0.02901422],"study_design_scores_gemma":[0.0005759256,0.0003956921,0.07216185,0.001060657,0.00003714003,0.000001652511,0.1688772,0.0008288505,8.011934e-7,0.007574679,0.7482201,0.0002654265],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9458196,0.001904646,0.0003998386,0.04786753,0.001617531,0.00110044,0.0001168165,0.0001146666,0.001059005],"genre_scores_gemma":[0.9928402,0.0002094108,0.0000755598,0.006082222,0.0006098722,0.00006971106,0.00005456834,0.00001384872,0.00004464608],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6910656,"threshold_uncertainty_score":0.99998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1841604914155066,"score_gpt":0.5297268558447531,"score_spread":0.3455663644292465,"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."}}