{"id":"W1995995252","doi":"10.1136/bmj.e3863","title":"Problems of stopping trials early","year":2012,"lang":"en","type":"article","venue":"BMJ","topic":"Cardiac, Anesthesia and Surgical Outcomes","field":"Medicine","cited_by":114,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Nutrition, Metabolism and Diabetes; McMaster University","funders":"","keywords":"Interim; Clinical trial; Early stopping; Interim analysis; Medicine; Alternative medicine; Intensive care medicine; Computer science; Artificial intelligence; Pathology; Political science; Law","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":[],"consensus_categories":[],"category_scores_codex":[0.001870458,0.00005599245,0.0006264926,0.00003857621,0.00001156855,0.00000328181,0.00002361059,0.00004946664,0.0001444839],"category_scores_gemma":[0.000715846,0.00003744817,0.0003145225,0.00006784066,0.00002158729,0.00004193823,0.000008979466,0.00004889697,0.00005696521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009289483,"about_ca_system_score_gemma":0.00002181544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002836816,"about_ca_topic_score_gemma":3.392573e-7,"domain_scores_codex":[0.9991718,0.0001081614,0.0003306108,0.00005602494,0.0001843312,0.0001490689],"domain_scores_gemma":[0.999188,0.0004453699,0.00009247902,0.0001467452,0.00003000812,0.0000974206],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002413893,0.0001709873,0.9616337,0.0001857781,0.0002382282,0.00002509262,0.001346223,0.00000222879,0.007159898,0.0117012,0.004425115,0.01287011],"study_design_scores_gemma":[0.001201826,0.00008738039,0.6730344,0.0001053222,0.0001597158,0.00007297285,0.0000703873,0.000002673446,0.001553967,0.00001901957,0.3236128,0.00007948101],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.89183,0.001082822,0.00009593683,0.002807378,0.000257657,0.0006552443,0.000001115785,0.00003453996,0.1032353],"genre_scores_gemma":[0.9939437,0.00001825759,0.0004567659,0.0002159975,0.0005266449,0.00001573639,0.000002027246,0.000007712047,0.00481315],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3191877,"threshold_uncertainty_score":0.1581998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1031855399092463,"score_gpt":0.3706847014537307,"score_spread":0.2674991615444844,"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."}}