{"id":"W3037562423","doi":"10.6084/m9.figshare.9976895","title":"Wild Bootstrap and Asymptotic Inference With Multiway Clustering","year":2021,"lang":"en","type":"dataset","venue":"Figshare","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Queen's University","funders":"","keywords":"Estimator; Statistic; Statistics; Cluster analysis; Mathematics; Inference; Bootstrap aggregating; Variance (accounting); Regression; Statistical inference; Econometrics; Computer science; Artificial intelligence","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":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00006709847,0.0003470217,0.0004989834,0.00005838897,0.00007920105,0.00017279,0.0002589896,0.0002632993,0.09280208],"category_scores_gemma":[0.01026923,0.000275176,0.00004104034,0.0001178002,0.00002209809,0.00005722055,0.0003249066,0.0005306028,0.0002253375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002544287,"about_ca_system_score_gemma":0.0001320564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002092023,"about_ca_topic_score_gemma":0.0001336478,"domain_scores_codex":[0.9985818,0.0001016291,0.0002845085,0.0004550048,0.0002764966,0.0003005663],"domain_scores_gemma":[0.9963794,0.002571428,0.00019182,0.0005540678,0.0001453229,0.0001579302],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005178641,0.00002906569,0.000001912178,0.002183814,0.00003419579,0.0001040075,0.00001347221,8.377099e-7,7.687152e-7,0.00004434296,0.9957005,0.00188186],"study_design_scores_gemma":[0.00033126,0.0001500714,0.0002424632,0.01537655,0.00009777244,0.00006267218,0.00002694062,0.0004408848,0.00002076779,0.00162603,0.9809766,0.0006479893],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000002934965,0.0001386546,0.000479278,0.00001276235,0.00004527189,0.0002242436,0.998827,0.00003868253,0.0002311191],"genre_scores_gemma":[0.00001817613,0.00002101977,0.03059519,0.0001082226,0.0000986536,0.0001262861,0.9689335,0.00002864503,0.00007036261],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09257674,"threshold_uncertainty_score":0.99997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.186250171104605,"score_gpt":0.395784282871444,"score_spread":0.209534111766839,"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."}}