{"id":"W4327860535","doi":"10.1017/9781108917919.014","title":"Common Misconceptions of Adaptive Trial Designs and Master Protocols","year":2023,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Field (mathematics); Field trial; Clinical trial; Computer science; Protocol (science); Adaptive design; Medical physics; Medical education; Psychology; Medicine; Alternative medicine; Mathematics; Pathology; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.5268898,0.001567664,0.002817087,0.005088935,0.003637151,0.01189064,0.008815633,0.01352552,0.004618937],"category_scores_gemma":[0.6930329,0.003134702,0.002713508,0.006610385,0.04230249,0.01916488,0.008562207,0.05527099,0.002972358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009650258,"about_ca_system_score_gemma":0.01667382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002683456,"about_ca_topic_score_gemma":0.003135785,"domain_scores_codex":[0.4079811,0.4919852,0.03094031,0.008629932,0.05873761,0.001725896],"domain_scores_gemma":[0.1389142,0.8191048,0.00859135,0.01525257,0.01690881,0.001228266],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001938717,0.00007139817,0.0007660348,0.003819006,0.0002435822,0.0003916449,0.01684614,0.002034858,0.0003992842,0.7385228,0.09359225,0.1431191],"study_design_scores_gemma":[0.0002826706,0.0001787828,0.0004911069,0.01060481,0.0001775802,0.001486409,0.002267099,0.003766879,0.001120351,0.5911937,0.3882121,0.000218576],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002473929,0.06172525,0.4809552,0.4109431,0.01099194,0.001479871,0.0004096809,0.0009497293,0.03007147],"genre_scores_gemma":[0.04743148,0.04644296,0.5865671,0.2899772,0.008992415,0.009282636,0.0002362995,0.001219816,0.009850166],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4731102,"threshold_uncertainty_score":0.5834292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6988894581241069,"score_gpt":0.4692503918859038,"score_spread":0.229639066238203,"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."}}