{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts","research_integrity"],"consensus_categories":["metaresearch","sts"],"category_scores_codex":[0.4593193,0.0002137671,0.0005152865,0.001041867,0.02046738,0.0008507231,0.001731997,0.0005191503,0.0003237617],"category_scores_gemma":[0.6147963,0.00011563,0.0001705539,0.002101607,0.005566443,0.0002755951,0.005163239,0.1497833,0.00001202807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007630971,"about_ca_system_score_gemma":0.005039976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006064899,"about_ca_topic_score_gemma":0.0005822672,"domain_scores_codex":[0.9135324,0.06002451,0.001332695,0.0008710506,0.02253466,0.001704688],"domain_scores_gemma":[0.2261374,0.759194,0.0009345616,0.001780708,0.01069071,0.001262568],"domain_codex":null,"domain_gemma":"methods","domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.02524646,0.01121948,0.1623439,0.007264236,0.004169215,0.006721403,0.1033242,0.001757514,0.05280948,0.4628184,0.1375823,0.02474342],"study_design_scores_gemma":[0.005592457,0.02990327,0.07314998,0.002849534,0.0001295707,0.002137415,0.1442857,0.001605168,0.002222226,0.5528899,0.1846779,0.0005567736],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5816386,0.00272876,0.00002305878,0.410048,0.00008202985,0.001190485,0.000003388342,0.00001416371,0.004271566],"genre_scores_gemma":[0.9872696,0.005092855,0.0002395413,0.002244508,0.0007733243,0.000148375,0.000001022509,0.00005481424,0.004176003],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6991695,"threshold_uncertainty_score":0.9971398,"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."}}