{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008200333,0.0002095404,0.0004177862,0.0001812908,0.0001716951,0.0001966279,0.0002533785,0.00009856238,0.0002478715],"category_scores_gemma":[0.0042845,0.0001949257,0.00003716951,0.0001751176,0.0001721394,0.0001342088,0.00001328294,0.0003820847,0.00001638078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002423667,"about_ca_system_score_gemma":0.001375627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001002544,"about_ca_topic_score_gemma":0.002259545,"domain_scores_codex":[0.9978829,0.0002161267,0.0009068506,0.0001559594,0.0004225227,0.0004156414],"domain_scores_gemma":[0.9954264,0.001210297,0.0005831426,0.0001836241,0.001250984,0.001345612],"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":[0.00003562604,0.00005108097,0.005026376,0.0001130823,0.00008724626,0.0004442023,0.001438715,0.00001781913,0.0002214508,0.496512,0.4704386,0.02561389],"study_design_scores_gemma":[0.001212463,0.0006999047,0.00155276,0.0002897388,0.0002139303,0.0003004782,0.0003546287,0.01008831,0.0005113801,0.9702889,0.01399601,0.0004915515],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01204978,0.0001900851,0.9817039,0.0001322754,0.0006227709,0.0001323697,0.003903077,0.00001100168,0.001254785],"genre_scores_gemma":[0.1148726,0.00001046576,0.8843608,0.000172714,0.0001734142,0.000001785925,0.00007194705,0.00003730434,0.0002989429],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4737769,"threshold_uncertainty_score":0.794884,"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."}}