{"id":"W3169310707","doi":"10.2139/ssrn.1134869","title":"Empirical Likelihood Block Bootstrapping","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Bootstrapping (finance); Econometrics; Statistics; Computer science; Economics; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.01352695,0.0007686148,0.002375199,0.001796985,0.001730397,0.002235838,0.00394964,0.002191279,0.02897346],"category_scores_gemma":[0.09101227,0.001294189,0.001900315,0.002394079,0.001381031,0.003083336,0.002856522,0.003911229,0.01058452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008075513,"about_ca_system_score_gemma":0.002164941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002001367,"about_ca_topic_score_gemma":0.002786983,"domain_scores_codex":[0.9873261,0.009362856,0.0004256292,0.00124622,0.001202581,0.0004367314],"domain_scores_gemma":[0.9517207,0.03066315,0.001143123,0.01310083,0.002748546,0.000623682],"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":[0.001985468,0.0004831021,0.005010023,0.0006320013,0.0006021079,0.0005024222,0.0007789073,0.1336443,0.003673402,0.4463142,0.02094731,0.3854268],"study_design_scores_gemma":[0.0001964881,0.0001137864,0.001615165,0.0001082696,0.0001067768,0.0002523203,0.00006970041,0.7414238,0.001804464,0.2367167,0.0175381,0.00005443463],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008864217,0.0002531947,0.9853213,0.0001627454,0.00007952723,0.0001708028,0.0003508755,0.0007484688,0.004048921],"genre_scores_gemma":[0.1891541,0.0002483224,0.7976656,0.0002012634,0.0001672196,0.0009811659,0.002314876,0.0009983639,0.00826904],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02897346,"threshold_uncertainty_score":0.09692585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08383820215982947,"score_gpt":0.3707332290473517,"score_spread":0.2868950268875223,"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."}}