{"id":"W3088056573","doi":"10.1136/medethics-2020-106504","title":"SARS-CoV-2 challenge studies: ethics and risk minimisation","year":2020,"lang":"en","type":"article","venue":"Journal of Medical Ethics","topic":"Viral Infections and Outbreaks Research","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Wellcome Trust","keywords":"Research ethics; Coronavirus disease 2019 (COVID-19); Public health; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Ethical issues; Risk assessment; Engineering ethics; Medicine; Psychology; Psychiatry; Computer science; Nursing; Disease; Pathology","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"],"consensus_categories":[],"category_scores_codex":[0.009969664,0.0001045672,0.000398313,0.00009287215,0.0001977737,0.00002159907,0.0001098742,0.000969403,0.00006083336],"category_scores_gemma":[0.06521874,0.00007113338,0.0001147912,0.0001916909,0.000400129,0.00008860442,0.00009516987,0.01230811,0.00001418728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000536746,"about_ca_system_score_gemma":0.001472492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000497663,"about_ca_topic_score_gemma":0.00007806177,"domain_scores_codex":[0.9954768,0.0006005552,0.0005240242,0.0001327182,0.003094071,0.0001718138],"domain_scores_gemma":[0.9950882,0.00288016,0.0002431585,0.00008634488,0.001267746,0.0004344106],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004266559,0.002511989,0.01804882,0.01362275,0.006942212,0.006403836,0.3980218,0.00002946269,0.02246361,0.01674439,0.1905874,0.3203572],"study_design_scores_gemma":[0.02526859,0.02393017,0.009054625,0.007911539,0.002270647,0.006021102,0.05314523,0.01577679,0.01817784,0.008682779,0.828763,0.0009977086],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3491133,0.005498046,0.002248223,0.6421394,0.0003164912,0.0001097551,0.000002694154,0.00001759666,0.0005545675],"genre_scores_gemma":[0.8118407,0.1699558,0.000657852,0.01616799,0.001341181,0.0000014338,8.565144e-7,0.00001357225,0.00002058202],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6381756,"threshold_uncertainty_score":0.9899706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3693402498037535,"score_gpt":0.5119479436296944,"score_spread":0.142607693825941,"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."}}