{"id":"W6944930720","doi":"10.22004/ag.econ.274712","title":"Bootstrap and Asymptotic Inference with Multiway Clustering","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Queen's University; Canada Research Chairs; Danmarks Grundforskningsfond; National Research Foundation","keywords":"Inference; Estimator; Cluster analysis; Regression; Statistical inference; Variance (accounting); Regression analysis; Cluster (spacecraft)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.02858279,0.0009841627,0.001546115,0.002647139,0.0009792743,0.001863626,0.003526707,0.002712041,0.002252237],"category_scores_gemma":[0.1647445,0.0008680459,0.001742712,0.002807824,0.003874955,0.003828633,0.0033348,0.003506568,0.000603571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001225214,"about_ca_system_score_gemma":0.001340658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002788024,"about_ca_topic_score_gemma":0.002261871,"domain_scores_codex":[0.9805516,0.01528896,0.0004495399,0.001363695,0.002006296,0.0003398619],"domain_scores_gemma":[0.9105044,0.07051877,0.004103066,0.01077362,0.003640695,0.0004594839],"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":[0.00008767852,0.00007241785,0.003820062,0.0001762723,0.0002563269,0.0001557817,0.0003663977,0.1664456,0.0009533715,0.7640256,0.002013438,0.06162713],"study_design_scores_gemma":[0.00002862406,0.00003169181,0.0007115285,0.0000596116,0.00002755646,0.00007388852,0.00004302709,0.5995187,0.0007805674,0.3970279,0.001668939,0.00002793345],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004376795,0.0001825909,0.9945115,0.0001663237,0.00001963478,0.00001524058,0.00002127484,0.00009255448,0.0006141831],"genre_scores_gemma":[0.3956734,0.000579848,0.6007974,0.0003841263,0.0002077924,0.0003265274,0.0002864549,0.0002589683,0.001485583],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02858279,"threshold_uncertainty_score":0.151162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05304024226592325,"score_gpt":0.2859818589972569,"score_spread":0.2329416167313336,"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."}}