{"id":"W4387968863","doi":"10.1186/s12910-023-00957-2","title":"Preparing ethical review systems for emergencies: next steps","year":2023,"lang":"en","type":"article","venue":"BMC Medical Ethics","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto","funders":"World Health Organization; U.S. Department of State","keywords":"Philosophy of medicine; Preparedness; Coronavirus disease 2019 (COVID-19); Pandemic; Engineering ethics; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Bioethics; Political science; Environmental resource management; Management science; Medicine; Engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","research_integrity","insufficient_payload"],"consensus_categories":["metaresearch","research_integrity"],"category_scores_codex":[0.08172802,0.000249128,0.0009189355,0.0001350207,0.0002976048,0.00004784541,0.0007352306,0.005554679,0.0005697506],"category_scores_gemma":[0.8438633,0.0001958872,0.0004244043,0.0009465266,0.0008670071,0.00005700289,0.0005419344,0.01788327,0.0008198731],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001239174,"about_ca_system_score_gemma":0.02149635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001232497,"about_ca_topic_score_gemma":0.002513127,"domain_scores_codex":[0.9869906,0.001236519,0.001569998,0.000836036,0.008438732,0.0009281677],"domain_scores_gemma":[0.3990789,0.5908458,0.0003868242,0.002479801,0.004160334,0.003048356],"domain_codex":null,"domain_gemma":"methods","domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003146804,0.0002437857,0.00116315,0.3962688,0.0002180291,0.0001424744,0.0009760511,0.00002958179,0.00008884047,0.2812628,0.3172398,0.002052043],"study_design_scores_gemma":[0.005103339,0.001973259,0.0009852076,0.2672964,0.0007146904,0.000226205,0.002344426,0.04422264,0.00008392987,0.05102095,0.6248747,0.001154342],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.006934673,0.1235676,0.07470202,0.7290479,0.0117818,0.01337938,0.000103227,0.00327556,0.03720786],"genre_scores_gemma":[0.02347068,0.9034361,0.003586378,0.05088035,0.00242783,0.00113888,0.0001563479,0.0001538649,0.01474955],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.7798685,"threshold_uncertainty_score":0.9999581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7550355987248745,"score_gpt":0.649024988532703,"score_spread":0.1060106101921715,"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."}}