{"id":"W23343253","doi":"","title":"Characterization of clinical study populations by race and ethnicity in biomedical literature.","year":2012,"lang":"en","type":"article","venue":"PubMed","topic":"Race, Genetics, and Society","field":"Biochemistry, Genetics and Molecular Biology","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ethnic group; Race (biology); Nationality; Medicine; Human genetic variation; Diversity (politics); Demography; Gerontology; Geography; Immigration; Gender studies; Sociology; Genetics; Human genome; Biology; Anthropology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007881111,0.00006744893,0.0001440263,0.00001952497,0.00002565432,0.00000878211,0.00005887545,0.0001672819,0.00000148377],"category_scores_gemma":[0.0002039085,0.00006218133,0.00003538499,0.00009872867,0.00007985862,0.00000563615,0.00005756353,0.00008821429,2.592926e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003941443,"about_ca_system_score_gemma":0.00001039934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006728539,"about_ca_topic_score_gemma":0.00001391323,"domain_scores_codex":[0.9991225,0.000145148,0.0003003941,0.0001685019,0.00008970687,0.0001737373],"domain_scores_gemma":[0.9996286,0.00001070234,0.00006414606,0.0001531037,0.00003364228,0.0001098203],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003211683,0.0007409373,0.9409584,0.00001041511,0.00002390657,2.147718e-7,0.0007455686,1.851648e-7,0.04442787,0.000009082112,0.0005369071,0.01251435],"study_design_scores_gemma":[0.0005152361,0.00005141395,0.9910628,0.000002015676,0.000009957332,8.09235e-7,0.00009548525,0.000008246548,0.003434601,0.00000437703,0.004749012,0.00006608519],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983546,0.0006824288,0.0001788171,0.0001095188,0.0002332192,0.0003580416,0.00003801792,0.00000343178,0.0000419653],"genre_scores_gemma":[0.9986612,0.0003444773,0.00008337,0.00008505493,0.0002406688,0.00008758291,0.0003000155,0.000007221729,0.0001904228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05010432,"threshold_uncertainty_score":0.2535681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03549886980652968,"score_gpt":0.3214544827214207,"score_spread":0.285955612914891,"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."}}