{"id":"W4310705880","doi":"10.1016/j.cpcardiol.2022.101518","title":"Diversity in U.S. Cardiovascular Trainees and Leadership Where we are and What the Future Holds","year":2022,"lang":"en","type":"review","venue":"Current Problems in Cardiology","topic":"Diversity and Career in Medicine","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"National Center for Advancing Translational Sciences; National Heart, Lung, and Blood Institute","keywords":"Ethnic group; Medicine; Diversity (politics); Underrepresented Minority; Demography; Race (biology); Family medicine; Gerontology; Gender studies; Medical education","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.002934484,0.0007296921,0.00141154,0.002734556,0.0006569859,0.002058997,0.001055758,0.002461118,0.003474207],"category_scores_gemma":[0.006523318,0.0003427504,0.0007391974,0.003784424,0.001424477,0.002777448,0.00161427,0.002996317,0.0006969237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002320048,"about_ca_system_score_gemma":0.006612373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00813924,"about_ca_topic_score_gemma":0.01723627,"domain_scores_codex":[0.9991484,0.0002505081,0.0001100477,0.0001308355,0.0002680809,0.000092103],"domain_scores_gemma":[0.995149,0.003062716,0.0005481091,0.00006614008,0.0007065361,0.0004675073],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00006081764,0.00003461995,0.000514982,0.03263796,0.0001731174,0.00004887674,0.0002004908,0.000166752,0.00008574217,0.009264842,0.05918941,0.8976223],"study_design_scores_gemma":[0.00003163753,0.0001060395,0.005336612,0.06570674,0.000314203,0.000568629,0.0006503423,0.00009415535,0.0000784025,0.006922878,0.9201444,0.00004582083],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00003175143,0.9982429,0.00001310851,0.001323106,0.0002040676,9.825582e-7,0.000007200457,0.000001343294,0.000175609],"genre_scores_gemma":[0.0004435829,0.9989268,0.00002272382,0.0003641954,0.0001816139,0.000002101511,0.000007721179,4.076938e-7,0.00005079917],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9970655,"threshold_uncertainty_score":0.01683325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2699205388129886,"score_gpt":0.338795406477955,"score_spread":0.06887486766496642,"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."}}