{"id":"W4413292220","doi":"10.1016/j.cct.2025.108048","title":"Adaptive phase 2/3 design with dose optimization","year":2025,"lang":"en","type":"article","venue":"Contemporary Clinical Trials","topic":"Engineering Applied Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"U.S. Food and Drug Administration; Canada Excellence Research Chairs, Government of Canada; Canada Research Chairs; Michael Smith Health Research BC","keywords":"Medicine; Phase (matter); Research design; Medical physics; Statistics","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"],"consensus_categories":[],"category_scores_codex":[0.001212996,0.0006512649,0.0005351002,0.0005412826,0.0002458559,0.001025304,0.000746499,0.0007740253,0.00431031],"category_scores_gemma":[0.002280861,0.0006339176,0.0008146833,0.000461778,0.0003659166,0.0005043708,0.0007380212,0.0007733566,0.0008950607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006219542,"about_ca_system_score_gemma":0.001154208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006776355,"about_ca_topic_score_gemma":0.0009976323,"domain_scores_codex":[0.9995394,0.0001990526,0.00002143655,0.00005230096,0.0001522985,0.0000355455],"domain_scores_gemma":[0.9994465,0.0002651793,0.00008916836,0.00005348671,0.0001127955,0.00003291269],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0006966495,0.0001365632,0.001244084,0.000257919,0.0001707649,0.00007766177,0.0001222696,0.8299016,0.02678838,0.01689689,0.004652791,0.1190545],"study_design_scores_gemma":[0.00009849522,0.0002647041,0.0004380603,0.00002358387,0.00007977405,0.000104151,0.00001671291,0.9703038,0.0102445,0.007806813,0.01059151,0.00002795706],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007246327,0.0002726516,0.9870826,0.0001921544,0.00005811597,0.0001057421,0.00007077358,0.0005605321,0.004411248],"genre_scores_gemma":[0.3240926,0.0003299441,0.6659034,0.0006041054,0.00007713366,0.000714114,0.0002017679,0.0008555375,0.00722145],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.998787,"threshold_uncertainty_score":0.01441944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4298548589172028,"score_gpt":0.4895050882261288,"score_spread":0.05965022930892594,"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."}}