{"id":"W4308980416","doi":"10.1016/j.outlook.2022.08.006","title":"National Institutes of Health diversity supplements: Perspectives from administrative insiders","year":2022,"lang":"en","type":"article","venue":"Nursing Outlook","topic":"Diversity and Career in Medicine","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institutes of Health; York University","keywords":"Diversity (politics); Stakeholder; Inclusion (mineral); Medical education; Library science; Plan (archaeology); Public relations; Medicine; Political science; Sociology; Social science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.1235097,0.0006250988,0.0006689749,0.00174967,0.04169232,0.02434145,0.003157602,0.009271722,0.00448058],"category_scores_gemma":[0.1029697,0.0007024498,0.0007863239,0.002487526,0.01345608,0.008899961,0.02142395,0.01317372,0.0006207186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01257881,"about_ca_system_score_gemma":0.03495627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008918655,"about_ca_topic_score_gemma":0.01250333,"domain_scores_codex":[0.8335395,0.1337562,0.003921244,0.002963789,0.01541465,0.01040461],"domain_scores_gemma":[0.8217328,0.1044613,0.01200964,0.005750679,0.02161262,0.03443296],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001096043,0.0003316159,0.01658076,0.0005010288,0.00003711838,0.002189995,0.7785361,0.0001816961,0.00173881,0.04432707,0.1028586,0.05260761],"study_design_scores_gemma":[0.00001743054,0.0001968626,0.003783322,0.0007333496,0.00001630902,0.0004470766,0.6470727,0.0001396623,0.0006210963,0.004455853,0.342444,0.00007237338],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1770384,0.005143887,0.003027987,0.7559152,0.003937675,0.0001800664,0.0001284761,0.00008586118,0.05454247],"genre_scores_gemma":[0.8360316,0.004130659,0.003327259,0.1396001,0.002147381,0.0002687257,0.00009638882,0.0001133152,0.0142847],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8764903,"threshold_uncertainty_score":0.6531895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1303490919832164,"score_gpt":0.3992766590702594,"score_spread":0.268927567087043,"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."}}