{"id":"W2315610259","doi":"10.4172/2155-6180.1000167","title":"Number Needed to Treat for Recurrent Events","year":2013,"lang":"en","type":"article","venue":"Journal of Biometrics & Biostatistics","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Number needed to treat; Event (particle physics); Nonparametric statistics; Computer science; Medicine; Clinical trial; Randomized controlled trial; Parametric statistics; Statistics; Confidence interval; Relative risk; Mathematics; Surgery; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[],"category_scores_codex":[0.003241856,0.00029006,0.001011968,0.001042184,0.00008634629,0.0001091104,0.0005195118,0.0002134455,0.0006018875],"category_scores_gemma":[0.2458879,0.0002237567,0.0003082763,0.002518089,0.000074727,0.0001182496,0.0001065496,0.0003058754,0.0002008932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000207809,"about_ca_system_score_gemma":0.0001106598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001384695,"about_ca_topic_score_gemma":7.524595e-7,"domain_scores_codex":[0.995782,0.0003294227,0.002225682,0.0002653227,0.000902625,0.0004949889],"domain_scores_gemma":[0.942764,0.05300044,0.001273333,0.0003538133,0.00196597,0.000642442],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005398314,0.001137926,0.0005609673,0.0004262603,0.0002301674,0.00002549975,0.0001927689,0.000001424575,0.001345928,0.04095117,0.5829185,0.3716695],"study_design_scores_gemma":[0.002333335,0.002256386,0.0008565547,0.0001629,0.0003641995,0.00004836979,0.0001676136,0.0001697499,0.002491755,0.9817939,0.008983819,0.0003713594],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02404949,0.0000639425,0.9689797,0.001716476,0.002903113,0.00109244,0.0008182129,0.00002547021,0.0003512248],"genre_scores_gemma":[0.01439756,0.0001008875,0.9838223,0.0005606622,0.0006495356,0.00002961388,0.000003810505,0.0000606213,0.0003749519],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9408428,"threshold_uncertainty_score":0.9124532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4922085329505682,"score_gpt":0.5755920266585692,"score_spread":0.08338349370800108,"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."}}