{"id":"W4402548674","doi":"10.1093/haschl/qxae106","title":"Counting everyone: evidence for inclusive measures of disability in federal surveys","year":2024,"lang":"en","type":"article","venue":"Health Affairs Scholar","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Administration for Community Living; Hamilton Health Sciences; National Institute on Disability, Independent Living, and Rehabilitation Research; U.S. Department of Health and Human Services","keywords":"Psychology; Statistics; Actuarial science; Business; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02391542,0.0001248767,0.0003778476,0.0000764806,0.0009704478,0.0002043671,0.0002526859,0.0001283404,0.00004629707],"category_scores_gemma":[0.0075471,0.0001212522,0.0001128651,0.0005119603,0.0002586816,0.0008410042,0.00006617468,0.0004212969,0.000008549047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001232354,"about_ca_system_score_gemma":0.00273901,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05951837,"about_ca_topic_score_gemma":0.0940735,"domain_scores_codex":[0.9957808,0.001772036,0.0006698643,0.0003669705,0.0006144089,0.0007959637],"domain_scores_gemma":[0.996555,0.00267164,0.000122366,0.0001920768,0.0001727532,0.0002861349],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007327359,0.0001246957,0.9070888,0.006255697,0.00001733311,0.000004618699,0.02830413,0.00002816198,0.00001241763,0.01890649,0.004247381,0.03493696],"study_design_scores_gemma":[0.0005545709,0.000164791,0.8473634,0.00317262,0.00000819565,0.000001044997,0.03862845,0.0002569023,0.0000441966,0.004685115,0.1047491,0.0003716199],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7687788,0.07390427,0.003324501,0.1409729,0.004457871,0.004921102,0.00023237,0.000390858,0.00301735],"genre_scores_gemma":[0.996935,0.00112668,0.0005727321,0.0008741855,0.0002650867,0.0000762529,0.000005062099,0.00001554955,0.000129451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2281562,"threshold_uncertainty_score":0.9467444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1273892323648706,"score_gpt":0.4456385456846428,"score_spread":0.3182493133197721,"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."}}