{"id":"W4327860560","doi":"10.1017/9781108917919.013","title":"Standards and Guidelines for 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":"Rigour; Adaptive design; Clinical trial; Protocol (science); Computer science; Research design; Clinical study design; Medical physics; Risk analysis (engineering); Management science; Medicine; Alternative medicine; Engineering","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","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002238629,0.0004410742,0.001145991,0.0001290116,0.0001679195,0.00007443657,0.0002716087,0.0006022513,0.000005682945],"category_scores_gemma":[0.01378051,0.0004330103,0.0002180474,0.000008173275,0.0004803128,0.00004680897,0.000462048,0.0003742978,0.000001361562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001088005,"about_ca_system_score_gemma":0.0001978292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008271897,"about_ca_topic_score_gemma":0.000001570168,"domain_scores_codex":[0.9975891,0.0002262812,0.0006982963,0.0007196487,0.0004658146,0.0003009285],"domain_scores_gemma":[0.9827725,0.01506344,0.0004896685,0.0004518343,0.0009926687,0.0002298474],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01841255,0.00001005446,1.047355e-7,0.0004187582,0.0002368747,0.00005205911,0.00001908507,7.905043e-8,0.000004342798,0.9045704,0.07001954,0.006256132],"study_design_scores_gemma":[0.04141861,0.002397901,0.000001123242,0.00197697,0.001323428,0.000008344044,0.00006781368,0.0002545973,0.0001206703,0.1800797,0.771346,0.001004858],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00001108333,0.00002880328,0.2457094,0.00008029667,0.0004029501,0.04563199,0.008758739,0.0002764031,0.6991004],"genre_scores_gemma":[0.00000102771,0.00003732965,0.2360786,0.00004946382,0.0004382482,0.0002811344,0.000004813007,0.00009573632,0.7630136],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7244908,"threshold_uncertainty_score":0.9998122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7911254429652516,"score_gpt":0.5253933955109477,"score_spread":0.2657320474543039,"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."}}