{"id":"W4223973975","doi":"10.1002/cjs.11699","title":"Estimating design operating characteristics in Bayesian adaptive clinical trials","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bayesian probability; Context (archaeology); Adaptive design; Clinical trial; Computer science; Sequential analysis; Coronavirus disease 2019 (COVID-19); Machine learning; Artificial intelligence; Operations research; Medicine; Statistics; Mathematics; Disease; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.06413665,0.0002762842,0.002145249,0.0004257118,0.0003814488,0.0001235838,0.0006367991,0.0001501358,0.001614567],"category_scores_gemma":[0.4976351,0.0002669106,0.0002354963,0.000419003,0.0002533339,0.00009713243,0.00007709357,0.001862469,0.000005988555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005252452,"about_ca_system_score_gemma":0.003685087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003507285,"about_ca_topic_score_gemma":0.000570389,"domain_scores_codex":[0.978386,0.01363849,0.006391179,0.00032203,0.0006351059,0.000627146],"domain_scores_gemma":[0.8049977,0.1883736,0.004127305,0.0004450292,0.0006509933,0.001405383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0009875247,0.0006820866,0.0230936,0.0002679891,0.0008166585,0.01215576,0.003349145,0.006262061,0.00005612681,0.3986084,0.08049932,0.4732213],"study_design_scores_gemma":[0.002404236,0.001528914,0.002424309,0.000242273,0.0003004424,0.0002408762,0.0007439108,0.09570954,0.00001126547,0.8953925,0.0005550971,0.0004466848],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002096639,0.0000535265,0.9916551,0.0002540207,0.003599202,0.0005519809,0.001597471,0.00001009075,0.0001819712],"genre_scores_gemma":[0.1177019,0.000007373476,0.8810257,0.0003236207,0.0008097862,0.00002026006,0.000004265836,0.00005932721,0.00004785243],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.496784,"threshold_uncertainty_score":0.9999783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.755651736606096,"score_gpt":0.5781911638527113,"score_spread":0.1774605727533847,"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."}}