{"id":"W3092288994","doi":"10.2196/20050","title":"An Environmental Scan of Sex and Gender in Electronic Health Records: Analysis of Public Information Sources","year":2020,"lang":"en","type":"article","venue":"Journal of Medical Internet Research","topic":"Sex and Gender in Healthcare","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Health Infoway; University of Victoria","funders":"Canadian Institutes of Health Research","keywords":"Health records; Public health; Computer science; Psychology; Medicine; Environmental health; Internet privacy; Political science; Health care; Nursing","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00679705,0.00006659288,0.0004803838,0.000881228,0.00001613314,0.00001487969,0.0002458386,0.0001158476,0.0007333538],"category_scores_gemma":[0.0007144442,0.00005058716,0.00008484603,0.0006432979,0.0001849617,0.0001900362,0.00007203085,0.001027152,0.000001236559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002114457,"about_ca_system_score_gemma":0.0008772134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007174528,"about_ca_topic_score_gemma":0.0002474097,"domain_scores_codex":[0.9960457,0.0005904431,0.0009222187,0.0001145855,0.002003311,0.000323711],"domain_scores_gemma":[0.9985762,0.0002021056,0.0002622613,0.0001264228,0.0001268118,0.0007062632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004417465,0.0002989179,0.7056733,0.0005464202,0.0006815204,0.00002427964,0.03148791,0.00001066543,0.0001843967,0.0001268593,0.001010168,0.2595138],"study_design_scores_gemma":[0.004688834,0.01479929,0.8231443,0.0003846813,0.0001939244,0.0002693545,0.07347343,0.06870891,0.001328486,0.0004135277,0.01241993,0.0001753164],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9850496,0.002232476,0.0003464909,0.01215259,0.00002019061,0.000114041,0.000005226351,0.00000206332,0.00007734153],"genre_scores_gemma":[0.9964395,0.002674693,0.00006759794,0.0006917629,0.00009170421,0.000001356302,0.00001914223,0.0000049266,0.000009274104],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2593385,"threshold_uncertainty_score":0.802971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1560002677922473,"score_gpt":0.455926893621563,"score_spread":0.2999266258293157,"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."}}