{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001345745,0.000160208,0.0002597551,0.00007245892,0.000303289,0.00002555653,0.0002325458,0.00008845852,0.000100439],"category_scores_gemma":[0.001103813,0.0001286956,0.0001230557,0.0001626645,0.00007886303,0.00006726786,0.00003357462,0.00188605,0.00004878431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003097699,"about_ca_system_score_gemma":0.001474225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007877878,"about_ca_topic_score_gemma":0.00002751467,"domain_scores_codex":[0.9968622,0.0001569606,0.0003831201,0.0001808286,0.0003225052,0.002094367],"domain_scores_gemma":[0.9989182,0.0005205583,0.0001311185,0.0001718853,0.0000986987,0.0001595738],"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":[0.0000496117,0.0002807457,0.006284226,0.00001911412,0.0002180562,0.00007323051,0.0005125131,0.000002353259,0.0005170347,0.9600977,0.00302956,0.02891584],"study_design_scores_gemma":[0.000386303,0.000286103,0.001310886,0.00002064838,0.000030015,0.003099437,0.0002734381,0.0001548902,0.0001213811,0.9930725,0.001069524,0.0001748925],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.464095,0.0007675775,0.527143,0.0008865895,0.000210715,0.0001156859,0.000002711731,0.00008594101,0.006692812],"genre_scores_gemma":[0.9633901,0.001232297,0.03392414,0.0001903183,0.000420318,0.000004143647,3.890704e-7,0.00002967632,0.0008085753],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4992952,"threshold_uncertainty_score":0.8194054,"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."}}