{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01732756,0.0009202681,0.0009424804,0.002241345,0.001001112,0.002201693,0.003199973,0.001908553,0.006211254],"category_scores_gemma":[0.1017169,0.0003726652,0.001170076,0.004319519,0.001399764,0.002225776,0.001873852,0.002350276,0.003451679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001162865,"about_ca_system_score_gemma":0.00122392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004712083,"about_ca_topic_score_gemma":0.008010372,"domain_scores_codex":[0.9907994,0.006874106,0.0004288463,0.001005111,0.000707857,0.0001846892],"domain_scores_gemma":[0.9532841,0.03011872,0.002185996,0.01160754,0.002513424,0.0002902231],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006411735,0.0002412355,0.03552772,0.001385297,0.0007427082,0.0004501268,0.0006741305,0.1546112,0.0009896464,0.3062925,0.2785198,0.2199244],"study_design_scores_gemma":[0.0004619852,0.00008321402,0.007553964,0.0002978077,0.0001289172,0.0004806618,0.0002401183,0.3230782,0.001624293,0.5642579,0.1017025,0.00009049343],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"dataset","genre_scores_codex":[0.03338747,0.002524969,0.8968116,0.00263121,0.0002931611,0.0002314949,0.05299072,0.003104483,0.008024922],"genre_scores_gemma":[0.2687719,0.001143098,0.6069977,0.001573786,0.0002353125,0.001458252,0.114756,0.001395534,0.003668433],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.01732756,"threshold_uncertainty_score":0.09163803,"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."}}