{"id":"W4252029050","doi":"10.1002/sim.3909","title":"Construction of confidence limits about effect measures: A general approach—Reply","year":2010,"lang":"en","type":"article","venue":"Statistics in Medicine","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Biostatistics; Epidemiology; Library science; Citation; Confidence interval; Medicine; History; Demography; Family medicine; Sociology; Computer science; Pathology","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.03799746,0.00219251,0.004220425,0.002387993,0.002552472,0.005031867,0.007425915,0.04495062,0.005447882],"category_scores_gemma":[0.2223396,0.002032896,0.004085809,0.002674828,0.01871223,0.0131532,0.004935722,0.07636277,0.00313855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00611783,"about_ca_system_score_gemma":0.004734162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0073492,"about_ca_topic_score_gemma":0.003529994,"domain_scores_codex":[0.9810739,0.008074465,0.003909579,0.003290633,0.002970139,0.0006812034],"domain_scores_gemma":[0.8231303,0.1485057,0.004396639,0.006332507,0.01558516,0.002049641],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002660488,0.00008925434,0.001420235,0.0009596377,0.0005328377,0.001030518,0.001572522,0.001541838,0.0006355891,0.1034404,0.8527275,0.03578365],"study_design_scores_gemma":[0.000814581,0.0001807619,0.004874833,0.00168507,0.0006189622,0.003876981,0.001469571,0.006083331,0.001156889,0.5942347,0.3843395,0.0006647414],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0002487505,0.002568236,0.007312143,0.9785421,0.01077414,0.00001557891,0.0001246566,0.00005462979,0.000359802],"genre_scores_gemma":[0.01023316,0.002847008,0.009747967,0.9125966,0.06231949,0.0001855751,0.00008772672,0.0001302232,0.001852157],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9620025,"threshold_uncertainty_score":0.2009522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2972331598042919,"score_gpt":0.5271650463082589,"score_spread":0.229931886503967,"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."}}