{"id":"W2589026107","doi":"10.1111/pan.13088","title":"Sequential allocation trial design in anesthesia: an introduction to methods, modeling, and clinical applications","year":2017,"lang":"en","type":"review","venue":"Pediatric Anesthesia","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":95,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Children's Hospital; University of British Columbia","funders":"","keywords":"Sample size determination; Medicine; Range (aeronautics); Confidence interval; Statistics; Population; Mathematical optimization; Mathematics","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","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.02837382,0.0007725177,0.004290176,0.0006011648,0.000242967,0.00024215,0.00109928,0.001450944,0.00004147338],"category_scores_gemma":[0.04467044,0.0006821805,0.00056074,0.0006201548,0.0001682458,0.0002144888,0.0001196141,0.001191768,0.00007142666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001772259,"about_ca_system_score_gemma":0.0007277429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002365314,"about_ca_topic_score_gemma":0.000004213551,"domain_scores_codex":[0.9808939,0.01191969,0.004181119,0.001880685,0.0005346226,0.0005900507],"domain_scores_gemma":[0.9668298,0.02821045,0.001928531,0.002222213,0.0002471264,0.0005619256],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009702422,0.0006115785,0.000007592346,0.002548401,0.00006643109,0.00004739683,0.00002810262,0.00001227135,2.568915e-8,0.009391801,0.0007691403,0.985547],"study_design_scores_gemma":[0.008296676,0.001799665,0.000007514038,0.000613008,0.008678603,0.0005847654,0.00001875922,0.002772788,2.568677e-7,0.3113559,0.6640134,0.001858565],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00002225413,0.2630569,0.7283705,0.0005548933,0.0003268078,0.007504877,0.000005386203,0.0001459583,0.00001237879],"genre_scores_gemma":[7.700252e-7,0.4779006,0.5126063,0.0000327974,0.008002185,0.00128498,0.00001622514,0.000101689,0.00005440682],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9836885,"threshold_uncertainty_score":0.9998454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7422750650565006,"score_gpt":0.6444602135530432,"score_spread":0.09781485150345748,"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."}}