{"id":"W4393252371","doi":"10.1182/bloodadvances.2024012862","title":"Race and ethnicity reporting and representation in hemophilia clinical trials","year":2024,"lang":"en","type":"article","venue":"Blood Advances","topic":"Hemophilia Treatment and Research","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ethnic group; Census; Representativeness heuristic; Medicine; Clinical trial; Demography; Population; Race (biology); Gerontology; Family medicine; Internal medicine; Psychology; Environmental health; Political science; Gender studies","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"],"consensus_categories":[],"category_scores_codex":[0.07997877,0.0002471789,0.0007011603,0.002371278,0.0008289618,0.002268621,0.001106403,0.0008415875,0.003170247],"category_scores_gemma":[0.2193669,0.0003699679,0.001188808,0.003728468,0.001067101,0.002056894,0.001953708,0.001119889,0.0004731951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007893739,"about_ca_system_score_gemma":0.001528386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001350331,"about_ca_topic_score_gemma":0.001922186,"domain_scores_codex":[0.7823318,0.1587881,0.03371007,0.007955448,0.01538968,0.001824835],"domain_scores_gemma":[0.6745217,0.1296911,0.1622121,0.01577137,0.01514558,0.002658139],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001860819,0.0001138695,0.9613463,0.001312679,0.001504809,0.00009298344,0.001356931,0.0002343364,0.0002633658,0.001172838,0.004468748,0.02627233],"study_design_scores_gemma":[0.0004097705,0.0007326906,0.9725112,0.00260838,0.00142466,0.001131948,0.001743075,0.001970562,0.001242169,0.002128754,0.01399868,0.00009807481],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9237046,0.02814728,0.009992762,0.00738875,0.0004807436,0.001910943,0.01268112,0.00007708027,0.01561682],"genre_scores_gemma":[0.9881037,0.002257828,0.002723114,0.001947531,0.0002240279,0.001776228,0.002374351,0.00003109793,0.000562232],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9200212,"threshold_uncertainty_score":0.4229732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2271915484231856,"score_gpt":0.537361420925668,"score_spread":0.3101698725024823,"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."}}