{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004137027,0.0001212998,0.0002151405,0.0001094755,0.0005319272,0.0001436697,0.001107764,0.00006904262,0.00003627106],"category_scores_gemma":[0.00002782407,0.0001233976,0.00004017624,0.00007547813,0.0003482325,0.001120258,0.0006747774,0.0001711159,0.00001440237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001746568,"about_ca_system_score_gemma":0.00007257995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000680469,"about_ca_topic_score_gemma":0.0008728955,"domain_scores_codex":[0.9989653,0.00008446802,0.00007625408,0.000377086,0.0002174441,0.0002794406],"domain_scores_gemma":[0.9987406,0.0001146174,0.0001122728,0.0007584892,0.0001031306,0.0001708533],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001039142,0.0001278196,0.02771766,0.0002392152,0.0001346245,0.0005429343,0.00984218,0.00007386419,0.004965483,0.04975091,0.000242479,0.9062589],"study_design_scores_gemma":[0.004073441,0.0009347168,0.7178371,0.0003742702,0.00005941973,0.0001286886,0.0008996301,0.2662689,0.002379466,0.003550502,0.002520962,0.0009729004],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.300073,0.00002499382,0.6959626,0.0007199144,0.00003493635,0.00009270251,0.000002813006,0.00001779036,0.003071257],"genre_scores_gemma":[0.7510341,0.00007101062,0.2479098,0.00002403233,0.00001057285,1.419327e-7,4.444456e-7,0.000004294223,0.0009455857],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.905286,"threshold_uncertainty_score":0.5032009,"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."}}