{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.06866982,0.003435236,0.003352357,0.006032175,0.001755374,0.005263476,0.004793535,0.004499136,0.02014499],"category_scores_gemma":[0.2005733,0.002809989,0.003594314,0.004055503,0.005875978,0.005730371,0.004358999,0.007548938,0.002777959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004073106,"about_ca_system_score_gemma":0.00565148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00662315,"about_ca_topic_score_gemma":0.005318531,"domain_scores_codex":[0.9492714,0.04245942,0.00137983,0.002466971,0.003948455,0.0004740159],"domain_scores_gemma":[0.7664636,0.2121605,0.006716911,0.006360414,0.007391111,0.0009075637],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002435314,0.000146035,0.0019671,0.001719324,0.0004792948,0.0003329795,0.0009218864,0.1520448,0.0004399091,0.6858989,0.008894523,0.1469118],"study_design_scores_gemma":[0.0001619076,0.0001029759,0.0003916835,0.0006504307,0.0001343643,0.0001171419,0.0001340024,0.2650694,0.000340444,0.7135027,0.01933465,0.00006016441],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0005606244,0.0009818559,0.9944019,0.0005053122,0.00009430406,0.0003353487,0.0001490114,0.0001921375,0.002779562],"genre_scores_gemma":[0.05020155,0.002607956,0.9379001,0.0006417976,0.0004213268,0.004089273,0.0005083447,0.0002919882,0.003337743],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.06866982,"threshold_uncertainty_score":0.3631651,"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."}}