{"id":"W3131532933","doi":"10.1080/15265161.2020.1870768","title":"Equitable Access to Research Benefits: Considerations for COVID-19 Vaccine Development and Clinical Trial Crossover","year":2021,"lang":"en","type":"letter","venue":"The American Journal of Bioethics","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Clinical trial; Crossover; MEDLINE; Medicine; Virology; Political science; Computer science; Internal medicine","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","sts","research_integrity"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.06709224,0.0003334095,0.001813457,0.0005523576,0.001003473,0.0006984523,0.001134897,0.001249388,0.0002069902],"category_scores_gemma":[0.2954587,0.0002221174,0.0004660202,0.0009135208,0.003541545,0.0001156493,0.001434124,0.02451105,0.00001247818],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005580962,"about_ca_system_score_gemma":0.02599128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000233566,"about_ca_topic_score_gemma":0.0006793996,"domain_scores_codex":[0.9893029,0.002353369,0.002842888,0.000716661,0.003719516,0.001064664],"domain_scores_gemma":[0.6644084,0.317439,0.00234012,0.001736367,0.01242412,0.001651963],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.03238968,0.0002783071,0.0003670536,0.0005619534,0.0010343,0.0006540861,0.0009409385,0.00001703744,0.00001093819,0.001720557,0.9566671,0.005358102],"study_design_scores_gemma":[0.02790396,0.01209788,0.0003186983,0.001346595,0.0005069937,0.0006069319,0.001357127,0.00001177789,0.000200056,0.02768094,0.9275525,0.0004165537],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.02286874,0.0008489949,0.0009861045,0.9724619,0.0008444914,0.001757659,0.00009704514,0.00001289129,0.000122117],"genre_scores_gemma":[0.004690906,0.004737178,0.02224137,0.9561675,0.009994517,0.00008862466,0.0000411029,0.0001058431,0.001932968],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.3248945,"threshold_uncertainty_score":0.9991702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8739327352089808,"score_gpt":0.6951803649233763,"score_spread":0.1787523702856045,"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."}}