{"id":"W2154296834","doi":"10.1186/1745-6215-10-49","title":"Stopping randomized trials early for benefit: a protocol of the Study Of Trial Policy Of Interim Truncation-2 (STOPIT-2)","year":2009,"lang":"en","type":"article","venue":"Trials","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; University of Ottawa; St. Michael's Hospital; Western University; AIDS Vancouver; University of British Columbia; Health Sciences Centre; Sunnybrook Health Science Centre; University of Toronto; McMaster University","funders":"Medical Research Council; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Interim; Medicine; Protocol (science); Interim analysis; Truncation (statistics); Randomized controlled trial; Data monitoring committee; Research design; Early stopping; Clinical trial; Medical physics; Alternative medicine; Statistics; Internal medicine; Computer science; Law; Artificial intelligence; Pathology; 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"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.1052476,0.0003119055,0.008496558,0.0002511603,0.00006414007,0.00002566694,0.0007523415,0.0002457103,0.0001240578],"category_scores_gemma":[0.8124747,0.0001786075,0.001981352,0.0005106407,0.0002504644,0.00006255472,0.00009413149,0.0001806765,7.264806e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004680625,"about_ca_system_score_gemma":0.0003080767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001023941,"about_ca_topic_score_gemma":0.000005590042,"domain_scores_codex":[0.9630056,0.02157004,0.01362064,0.0004828182,0.0009699424,0.0003509271],"domain_scores_gemma":[0.623494,0.3637013,0.01072221,0.001227802,0.0007624466,0.00009227706],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.7782953,0.002864955,0.000009956542,0.0003149902,0.0006773217,1.493254e-7,0.00174306,0.000005167316,0.004195184,0.1851226,0.0001885939,0.0265827],"study_design_scores_gemma":[0.4524802,0.002801687,0.00007265158,0.0002114857,0.0007947704,1.538914e-7,0.0001058015,0.00001582469,0.0114847,0.5319062,0.0000277058,0.00009883609],"study_design_candidate":"randomized_trial","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"empirical","genre_scores_codex":[0.1895052,0.00001355734,0.04999102,0.0007340392,0.001163173,0.7577111,0.0003013556,0.00005381564,0.0005267762],"genre_scores_gemma":[0.4640972,0.000005436541,0.3369432,0.000110951,0.002533382,0.1959203,0.000001687953,0.00007736371,0.0003103672],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.7072271,"threshold_uncertainty_score":0.9213359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8236072502114632,"score_gpt":0.6884190417043091,"score_spread":0.1351882085071541,"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."}}