{"id":"W2131715846","doi":"10.1002/sim.3645","title":"Two‐stage design of clinical trials involving recurrent events","year":2009,"lang":"en","type":"article","venue":"Statistics in Medicine","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Interim; Interim analysis; Sample size determination; Clinical trial; Event (particle physics); Poisson regression; Poisson distribution; Population; Statistics; Stage (stratigraphy); Medicine; Computer science; Mathematics; 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","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.08820321,0.0003151462,0.00337515,0.0002238634,0.00004099337,0.00000710958,0.0004655099,0.0002360174,0.0009806791],"category_scores_gemma":[0.7832535,0.0002361714,0.0001495952,0.0004273379,0.000412934,0.00004240195,0.00006922685,0.0008408881,0.00001288106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006558933,"about_ca_system_score_gemma":0.0001739156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002322619,"about_ca_topic_score_gemma":0.00001021011,"domain_scores_codex":[0.9767825,0.01269228,0.008246478,0.0006217211,0.001144737,0.000512279],"domain_scores_gemma":[0.740817,0.2563162,0.001763215,0.0005896572,0.0002675848,0.000246369],"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":[0.001068754,0.0008236416,0.00163645,0.0002610464,0.0001044677,0.00009585411,0.0003240647,0.00003053508,0.000219473,0.7621546,0.0182931,0.2149881],"study_design_scores_gemma":[0.006117302,0.001744679,0.00276707,0.000923973,0.000222417,0.000001810238,0.0001216293,0.003769808,0.00009105777,0.9838704,0.0001552724,0.0002145155],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0009680769,0.0002664406,0.9932947,0.0005057636,0.002285058,0.001229349,0.0002997471,0.00004626546,0.001104621],"genre_scores_gemma":[0.02085797,0.0006999912,0.9769462,0.0003758679,0.0008608582,0.00001988932,0.00001020087,0.00003204118,0.0001969409],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6950503,"threshold_uncertainty_score":0.9999326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8501905449859165,"score_gpt":0.7057092213771811,"score_spread":0.1444813236087354,"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."}}