{"id":"W4310702964","doi":"10.2196/38003","title":"Spotlighting Disability in a Major Electronic Health Record: Michigan Medicine’s Disability and Accommodations Tab","year":2022,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Healthcare Systems and Technology","field":"Business, Management and Accounting","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health care; Medical model of disability; Face (sociological concept); Population; Medicine; Nursing; Gerontology; Family medicine; Psychology; Political science; Psychiatry; Environmental health; Sociology; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01230644,0.0002556942,0.0002456084,0.002530291,0.002045549,0.003318418,0.000890399,0.001036137,0.01795618],"category_scores_gemma":[0.04512152,0.0002515005,0.0002952348,0.002838666,0.001151346,0.005237947,0.004272894,0.001170353,0.002762136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001783963,"about_ca_system_score_gemma":0.005507908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007318457,"about_ca_topic_score_gemma":0.02292895,"domain_scores_codex":[0.9918571,0.003968315,0.001307322,0.0002909427,0.002273177,0.0003032657],"domain_scores_gemma":[0.9517583,0.0203229,0.007985897,0.005355407,0.009797765,0.004779715],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002044352,0.0001876033,0.03268626,0.0003748359,0.00003562916,0.0001564212,0.002117363,0.0001132536,0.001229911,0.005195205,0.5143764,0.4433226],"study_design_scores_gemma":[0.00009785774,0.0004110073,0.05682568,0.001389701,0.00006521199,0.0008084736,0.006237372,0.0005620457,0.00292301,0.00260466,0.9279541,0.0001208877],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2059021,0.01293002,0.0271928,0.4753885,0.01356357,0.002930834,0.0315544,0.005876492,0.2246613],"genre_scores_gemma":[0.6424031,0.0156681,0.1450035,0.08334229,0.009588176,0.003731027,0.01545977,0.001207785,0.08359633],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01795618,"threshold_uncertainty_score":0.06508344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0512573819311461,"score_gpt":0.3927611926324676,"score_spread":0.3415038107013215,"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."}}