{"id":"W4403873327","doi":"10.1038/s41591-024-03323-w","title":"Recommendations to promote equity, diversity and inclusion in decentralized clinical trials","year":2024,"lang":"en","type":"review","venue":"Nature Medicine","topic":"Biomedical Ethics and Regulation","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"Health Canada","funders":"Daiichi Sankyo Europe; University of Oxford; British Heart Foundation; Surgical Reconstruction and Microbiology Research Centre; Leverhulme Trust; National Institute for Health and Care Research; Boston Scientific Corporation; European Society of Cardiology; Merck KGaA; Pfizer; Government of the United Kingdom; Birmingham Biomedical Research Centre; UK Research and Innovation; Pioneer Fund","keywords":"Equity (law); Inclusion (mineral); Diversity (politics); Clinical trial; Medicine; Psychology; Political science; Internal medicine; Social psychology; Law","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","open_science"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2250925,0.00178443,0.005363052,0.005199535,0.00217076,0.01196998,0.005458345,0.02140225,0.01578129],"category_scores_gemma":[0.4001592,0.001822636,0.005786232,0.005453024,0.009545522,0.01439899,0.007188317,0.02626967,0.003039882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01258872,"about_ca_system_score_gemma":0.0763985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01030493,"about_ca_topic_score_gemma":0.03022029,"domain_scores_codex":[0.8229219,0.1248974,0.02177078,0.004873883,0.02206272,0.003473321],"domain_scores_gemma":[0.4887007,0.4335992,0.02380662,0.0092906,0.03709532,0.007507454],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003671135,0.0002205479,0.0006101364,0.1288795,0.001520862,0.0001940119,0.001245752,0.0008767336,0.000338216,0.1090729,0.2980379,0.4586363],"study_design_scores_gemma":[0.001135141,0.0001174301,0.001534823,0.2969963,0.002342649,0.0001956895,0.0007355821,0.0003794778,0.0001970638,0.08475509,0.6114902,0.0001204686],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002919169,0.5722429,0.007092038,0.391981,0.01764508,0.001387243,0.0004340229,0.0001875401,0.008738251],"genre_scores_gemma":[0.01014459,0.4849347,0.06554886,0.4178362,0.009138785,0.00636969,0.0005229463,0.0001001599,0.005404102],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9945416,"threshold_uncertainty_score":0.9555989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3928827208609306,"score_gpt":0.6082452949523194,"score_spread":0.2153625740913888,"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."}}