{"id":"W3016729763","doi":"10.1177/1740774520914306","title":"Bayesian methods for pilot studies","year":2020,"lang":"en","type":"article","venue":"Clinical Trials","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Public Health Ontario; St. Joseph’s Healthcare Hamilton; Impact; SickKids Foundation; University of Toronto","funders":"","keywords":"Randomized controlled trial; Frequentist inference; Prior probability; Bayesian probability; Statistics; Confidence interval; Computer science; Medicine; Bayesian inference; Mathematics; Surgery","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":["metaresearch"],"category_scores_codex":[0.1572413,0.0003914534,0.005395537,0.000043378,0.000138841,0.00006423632,0.0006458739,0.0003762908,0.0004762738],"category_scores_gemma":[0.9759188,0.0002820035,0.001513682,0.0003214065,0.0005368112,0.00006806223,0.0002841606,0.0006186712,0.00009540177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002984664,"about_ca_system_score_gemma":0.0001269907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":5.649516e-7,"about_ca_topic_score_gemma":4.089328e-7,"domain_scores_codex":[0.9544109,0.03441836,0.008943794,0.001234213,0.0003727025,0.0006201089],"domain_scores_gemma":[0.08603406,0.9098885,0.001945019,0.0008181132,0.0004954629,0.0008188281],"domain_codex":null,"domain_gemma":"methods","domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.003738087,0.0006637571,0.0001085041,0.0006577554,0.001839575,0.000008786499,0.0001710852,0.00000124101,0.0004741907,0.2567884,0.1296416,0.605907],"study_design_scores_gemma":[0.005538179,0.002641925,0.00002095592,0.00007939034,0.0008838752,7.36077e-7,0.0001021173,0.0008327388,0.0009609651,0.9573088,0.03129192,0.0003384083],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000138148,0.0005541355,0.9774049,0.01367639,0.004042573,0.002929031,0.000133906,0.000329226,0.0007916742],"genre_scores_gemma":[0.001378086,0.0003811514,0.9847374,0.006399333,0.006455073,0.0003530013,0.000001827836,0.00009001651,0.0002041031],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8754702,"threshold_uncertainty_score":0.9999632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9799706100301048,"score_gpt":0.8082921533921043,"score_spread":0.1716784566380005,"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."}}