{"id":"W4327856904","doi":"10.1017/9781108917919.004","title":"Characteristics and Principles of Adaptive Trial Designs","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":"Adaptive design; Interim; Interim analysis; Computer science; Clinical trial; Research design; Risk analysis (engineering); Medicine; Mathematics; Statistics; Political science; Law","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":[],"consensus_categories":[],"category_scores_codex":[0.09679904,0.001484691,0.002391216,0.002893879,0.001013018,0.005632102,0.002865033,0.003848958,0.01040799],"category_scores_gemma":[0.1687142,0.001291876,0.001700191,0.003542295,0.008017703,0.005462797,0.003315871,0.009016474,0.004645432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002675391,"about_ca_system_score_gemma":0.00559857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007945823,"about_ca_topic_score_gemma":0.0006887846,"domain_scores_codex":[0.9090928,0.06632803,0.004650028,0.003118412,0.0161104,0.0007004068],"domain_scores_gemma":[0.7873173,0.1927626,0.00451782,0.007018443,0.007356211,0.00102764],"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":[0.0001018791,0.00004705513,0.0005701933,0.001037401,0.0001021896,0.00009412323,0.0005012493,0.004883705,0.0002320676,0.8804784,0.01047257,0.1014792],"study_design_scores_gemma":[0.0001602833,0.0002031164,0.0004497095,0.0009408842,0.00006125864,0.0005835111,0.00008395532,0.006002128,0.0003507739,0.871944,0.1191747,0.00004576453],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001182914,0.0183236,0.9075999,0.01144693,0.001312512,0.001478943,0.0003346383,0.0002731729,0.05804744],"genre_scores_gemma":[0.049535,0.03063241,0.8714316,0.01093217,0.0030356,0.01345592,0.0003257309,0.0004339375,0.02021756],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.09679904,"threshold_uncertainty_score":0.5119283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6014118872243567,"score_gpt":0.4202319524751986,"score_spread":0.1811799347491581,"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."}}