{"id":"W2021243604","doi":"10.1002/cjs.11242","title":"Prepivoting composite score statistics by weighted bootstrap iteration","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Statistics; Mathematics; Statistic; Confidence interval; Asymptotic distribution; Likelihood principle; Likelihood-ratio test; Confidence region; Distribution (mathematics); Asymptotic analysis; Statistical hypothesis testing; Score test; Likelihood function; Quasi-maximum likelihood; Maximum likelihood; Mathematical analysis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02136352,0.001440315,0.003367491,0.004002701,0.001114523,0.002795203,0.003102735,0.00145674,0.01037164],"category_scores_gemma":[0.1121271,0.001159069,0.001806185,0.002511546,0.003554214,0.00312372,0.005181101,0.004002437,0.002871104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00118826,"about_ca_system_score_gemma":0.003387852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002645309,"about_ca_topic_score_gemma":0.003112142,"domain_scores_codex":[0.9860242,0.008614653,0.0007465702,0.001337357,0.002731377,0.0005459384],"domain_scores_gemma":[0.9308954,0.05318784,0.002341112,0.005513387,0.00681879,0.001243457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001003728,0.0003729816,0.005394852,0.0006480701,0.0002780697,0.0005622848,0.0005931522,0.2093469,0.005269509,0.3034346,0.007041493,0.4660544],"study_design_scores_gemma":[0.00007557512,0.0002138313,0.0006338681,0.00009096767,0.00003421447,0.0001003334,0.00007213471,0.7827328,0.002912515,0.2099701,0.00311385,0.00004975874],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004692184,0.00005947407,0.9940695,0.00006106809,0.00003536731,0.0001074269,0.0000390126,0.000250103,0.0006859516],"genre_scores_gemma":[0.1000479,0.0001054383,0.8965818,0.0001207888,0.0001109601,0.0006355931,0.0003875681,0.0003495609,0.001660393],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02136352,"threshold_uncertainty_score":0.1129824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1542636429319503,"score_gpt":0.3427716765434647,"score_spread":0.1885080336115144,"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."}}