{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.1456546,0.0006839038,0.002690533,0.02775957,0.001759055,0.00501724,0.002589107,0.001929917,0.004374915],"category_scores_gemma":[0.4756525,0.0005511979,0.002398862,0.02996892,0.003252879,0.005904216,0.00320517,0.001300714,0.0007161795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002233024,"about_ca_system_score_gemma":0.009257708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002087075,"about_ca_topic_score_gemma":0.005024159,"domain_scores_codex":[0.7618061,0.1089531,0.096637,0.008224127,0.02319773,0.001182031],"domain_scores_gemma":[0.3348985,0.4431316,0.158309,0.02363814,0.03819063,0.001832215],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001822671,0.0001405412,0.3052878,0.2823116,0.01159105,0.0009292577,0.01618134,0.0003690703,0.005031785,0.02032692,0.02782406,0.3281839],"study_design_scores_gemma":[0.0006429403,0.0006698582,0.386576,0.368203,0.01421725,0.004320911,0.01344577,0.001069681,0.003831093,0.01917207,0.1876204,0.0002311521],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.09205424,0.8164349,0.02480623,0.02541708,0.005738866,0.005006177,0.01597812,0.0001625101,0.01440194],"genre_scores_gemma":[0.585558,0.2531368,0.1044109,0.01579463,0.006463532,0.01840036,0.0134458,0.000254568,0.002535421],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9722404,"threshold_uncertainty_score":0.7703043,"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."}}