{"id":"W2109101892","doi":"10.1002/hast.371","title":"Eliminating LGBTIQQ Health Disparities: <i>The Associated Roles of Electronic Health Records and Institutional Culture</i>","year":2014,"lang":"en","type":"article","venue":"The Hastings Center Report","topic":"LGBTQ Health, Identity, and Policy","field":"Psychology","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Family Medicine","funders":"","keywords":"Health records; Health equity; Electronic health record; Medicine; Environmental health; Business; Political science; Health care; Nursing; Public health; Law","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":[],"consensus_categories":[],"category_scores_codex":[0.003524016,0.0001877535,0.0003690175,0.00005812387,0.0009129559,0.00004867257,0.0002621769,0.00008302712,0.00002872367],"category_scores_gemma":[0.0005275153,0.000122915,0.00008951002,0.0001963433,0.0002924504,0.00008314508,0.00009519215,0.0004921315,0.00001167849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002136314,"about_ca_system_score_gemma":0.0004291337,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01259062,"about_ca_topic_score_gemma":0.004167501,"domain_scores_codex":[0.9972047,0.0005189521,0.0008696325,0.0003279807,0.0003268817,0.000751875],"domain_scores_gemma":[0.9979487,0.0001853983,0.001195151,0.0004124781,0.0001217568,0.0001365245],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001381522,0.0009434454,0.7399099,0.001281835,0.0003291218,0.00001852017,0.02227665,0.00002071042,0.00003610681,0.07153433,0.1161142,0.04739696],"study_design_scores_gemma":[0.003438435,0.002116288,0.734754,0.0006427687,0.0001464198,0.003012846,0.002040605,0.0004938276,0.00001614426,0.01129415,0.2413205,0.0007239651],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9045067,0.00377621,0.001860281,0.05714947,0.001752782,0.000918908,0.0000752273,0.0001720696,0.02978833],"genre_scores_gemma":[0.9905605,0.0003936982,0.00006069618,0.004929403,0.000426242,0.00002825984,0.00006930303,0.00002409822,0.003507833],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1252063,"threshold_uncertainty_score":0.9939846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02021128425479052,"score_gpt":0.3291377340433239,"score_spread":0.3089264497885334,"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."}}