{"id":"W3211309851","doi":"10.3899/jrheum.210626","title":"Representation of Skin of Color in Rheumatology Educational Resources","year":2021,"lang":"en","type":"article","venue":"The Journal of Rheumatology","topic":"Musculoskeletal Disorders and Rehabilitation","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Rheumatology; Medicine; Indigenous; Categorization; Dermatology; Skin color; Internal medicine; Artificial intelligence; Computer science","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":[0.001947055,0.0001761902,0.0001509879,0.003958313,0.0005142174,0.001409935,0.0003422946,0.0002577569,0.00606485],"category_scores_gemma":[0.01424927,0.0001202554,0.0001471067,0.001780701,0.0005646981,0.001178633,0.001563786,0.0002421202,0.0004216066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006611784,"about_ca_system_score_gemma":0.0006465452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003770157,"about_ca_topic_score_gemma":0.007496405,"domain_scores_codex":[0.9974717,0.001292181,0.0002091748,0.0001836444,0.0005856961,0.0002576346],"domain_scores_gemma":[0.9908801,0.003293725,0.003292341,0.0006000784,0.001433369,0.0005003515],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003012189,0.0001052703,0.8966995,0.0006011833,0.00007103725,0.0008011776,0.01642966,0.000193669,0.00382431,0.0007838516,0.003228414,0.07696069],"study_design_scores_gemma":[0.000007352153,0.000152301,0.9548114,0.0004797456,0.00004960161,0.00264873,0.0279315,0.0003664136,0.0009915006,0.0003326601,0.01220492,0.00002400723],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9854515,0.0006678876,0.0006231283,0.0004948046,0.00002117174,0.00007043925,0.0006454975,0.00001753572,0.01200808],"genre_scores_gemma":[0.9977227,0.0002734144,0.0009990945,0.00009878927,0.00001434254,0.00002269178,0.000158048,0.000006199796,0.0007047275],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00606485,"threshold_uncertainty_score":0.020289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0101887659576857,"score_gpt":0.2998163639000757,"score_spread":0.28962759794239,"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."}}