{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005070606,0.00006251913,0.0005295034,0.0001880455,0.00001897434,0.000001281479,0.00009253047,0.00008077929,0.0002143409],"category_scores_gemma":[0.001329249,0.00004156271,0.0001288897,0.0003388684,0.000245766,0.00004382405,0.00002492598,0.0001563435,0.00000202549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001957204,"about_ca_system_score_gemma":0.000272552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000316874,"about_ca_topic_score_gemma":0.0001393453,"domain_scores_codex":[0.9984319,0.0003786484,0.0008400765,0.00006981334,0.0001834491,0.0000961456],"domain_scores_gemma":[0.9976628,0.001078191,0.0006513909,0.0001590796,0.0004171431,0.00003136787],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007082556,0.000535071,0.9755908,0.000662729,0.0001450086,0.000003227279,0.005850593,0.000182997,0.007797506,0.00586389,0.001056109,0.001603759],"study_design_scores_gemma":[0.002602016,0.000584338,0.9722654,0.0006105236,0.00009605861,0.00445234,0.008953171,0.0001742402,0.00260249,0.007402339,0.0001923692,0.000064724],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894792,0.00170193,0.00008765978,0.008094021,0.000189313,0.0000946771,0.000001244573,0.000001259747,0.0003506838],"genre_scores_gemma":[0.9981846,0.000980937,0.000724258,0.00002539863,0.00000319336,0.000001748827,0.00000423098,0.000005855141,0.00006980108],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008705366,"threshold_uncertainty_score":0.2346883,"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."}}