{"id":"W4378781205","doi":"10.1093/aje/kwad131","title":"Impact of Allocation Concealment and Blinding in Trials Addressing Treatments for COVID-19: A Methods Study","year":2023,"lang":"en","type":"article","venue":"American Journal of Epidemiology","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; Impact; McMaster University","funders":"Canadian Institutes of Health Research; McMaster University","keywords":"Blinding; Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Medicine; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Clinical trial; Virology; Pathology; Outbreak; Disease","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","metaepi_broad"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.470825,0.006654243,0.01094714,0.004144692,0.001497105,0.006869931,0.003022936,0.009417405,0.009865867],"category_scores_gemma":[0.6924736,0.003040105,0.03532366,0.004490147,0.004506516,0.008421108,0.004863638,0.00685527,0.001443245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004770085,"about_ca_system_score_gemma":0.007247903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001411631,"about_ca_topic_score_gemma":0.001390069,"domain_scores_codex":[0.257161,0.6236102,0.0805424,0.01335394,0.02268086,0.002651535],"domain_scores_gemma":[0.2167812,0.6407467,0.08302393,0.04634893,0.01136197,0.001737313],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"meta_analysis","study_design_gemma":"observational","study_design_scores_codex":[0.2040682,0.001901312,0.02688589,0.1886438,0.3913867,0.0008598695,0.001842103,0.008743996,0.001772396,0.02178724,0.008609896,0.1434985],"study_design_scores_gemma":[0.2768145,0.03348151,0.02744853,0.06738956,0.4273153,0.002009684,0.0004755832,0.03368172,0.006423044,0.07747179,0.04654386,0.0009449996],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09878317,0.2806308,0.448715,0.01957241,0.01402913,0.1179811,0.006903634,0.001720388,0.01166432],"genre_scores_gemma":[0.6467183,0.02066407,0.1303477,0.01307944,0.002338658,0.1822285,0.001696386,0.0004317874,0.002495177],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9890529,"threshold_uncertainty_score":0.6525671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8496933252984763,"score_gpt":0.6953845592148071,"score_spread":0.1543087660836692,"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."}}