{"id":"W4310940450","doi":"10.1177/15562646221138450","title":"Protecting the Vulnerable and Including the Under-Represented: IRB Practices and Attitudes","year":2022,"lang":"en","type":"article","venue":"Journal of Empirical Research on Human Research Ethics","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Center for Advancing Translational Sciences; Harvard Catalyst; University of Pennsylvania","keywords":"Political science; Informed consent; Engineering ethics; Psychology; Law; Public relations; Medicine; Alternative medicine; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["metaresearch"],"domain":"methods","study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["metaresearch"],"domain":"methods","study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","research_integrity"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.210443,0.0002768658,0.0007520599,0.003186145,0.007892955,0.008942449,0.001600803,0.00342244,0.003503141],"category_scores_gemma":[0.2857343,0.0008922673,0.0006331939,0.001855918,0.01565359,0.006463306,0.01076628,0.006916168,0.0008522714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004252874,"about_ca_system_score_gemma":0.009376303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004738289,"about_ca_topic_score_gemma":0.005214955,"domain_scores_codex":[0.7812493,0.1716786,0.0120733,0.005857221,0.02302902,0.006112545],"domain_scores_gemma":[0.6498848,0.216208,0.06502613,0.01734206,0.02470715,0.02683185],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0002662795,0.0005384791,0.2206746,0.0007382982,0.0001719935,0.001017961,0.6673058,0.0001839902,0.005209067,0.01476686,0.01094125,0.07818543],"study_design_scores_gemma":[0.0001103042,0.0009211267,0.2303372,0.004006125,0.0001586186,0.004246605,0.6002219,0.001291631,0.003521731,0.01821158,0.1365323,0.0004409807],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.87401,0.004660541,0.01120763,0.08479649,0.0006098995,0.000578006,0.00008701184,0.00006363641,0.02398679],"genre_scores_gemma":[0.9676995,0.002053134,0.005762465,0.0215481,0.0002746238,0.0003689867,0.00002853179,0.0000548292,0.002209752],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9965776,"threshold_uncertainty_score":0.9736643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9735816868509165,"score_gpt":0.8029646020742615,"score_spread":0.170617084776655,"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."}}