{"id":"W2791409969","doi":"10.1136/bmj.k698","title":"Key design considerations for adaptive clinical trials: a primer for clinicians","year":2018,"lang":"en","type":"article","venue":"BMJ","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":184,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Impact","funders":"Bill and Melinda Gates Foundation","keywords":"Clinical trial; Adaptive design; Computer science; Resource (disambiguation); Key (lock); Psychological intervention; Clinical study design; Research design; Risk analysis (engineering); Drug trial; Medical physics; Medicine; Management science; Intensive care medicine; Engineering; Psychiatry; Pathology; Computer security","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":[],"category_scores_codex":[0.2912608,0.003656127,0.005470556,0.005746379,0.003059399,0.01523888,0.009797356,0.02349686,0.005857708],"category_scores_gemma":[0.4570105,0.00332248,0.003826829,0.00481631,0.03236227,0.02581771,0.008370932,0.05224796,0.004466246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00872157,"about_ca_system_score_gemma":0.01748732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001478533,"about_ca_topic_score_gemma":0.001641115,"domain_scores_codex":[0.6861898,0.2668246,0.02100812,0.004888721,0.01969225,0.001396602],"domain_scores_gemma":[0.4273971,0.5274654,0.01346616,0.009582599,0.0175777,0.00451102],"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":[0.0005600473,0.0003239879,0.001129869,0.01237968,0.0003660639,0.0009675969,0.007241868,0.005048308,0.0006340217,0.5470588,0.1264087,0.2978811],"study_design_scores_gemma":[0.0003809795,0.0004774819,0.0002932567,0.01642458,0.0001251759,0.001368496,0.001649243,0.002736844,0.0003293285,0.5919183,0.3841195,0.0001767563],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.0005104601,0.1527151,0.3176871,0.5075511,0.01080414,0.001813152,0.0001315905,0.0004079815,0.008379413],"genre_scores_gemma":[0.01734179,0.1180285,0.6098425,0.2157829,0.02157186,0.01338272,0.0001196342,0.0006253195,0.003304771],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.2912608,"threshold_uncertainty_score":0.8740016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9552590505586375,"score_gpt":0.7305588347048191,"score_spread":0.2247002158538184,"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."}}