{"id":"W94208768","doi":"10.1002/jae.2508","title":"Wild Bootstrap Inference for Wildly Different Cluster Sizes","year":2016,"lang":"en","type":"article","venue":"Journal of Applied Econometrics","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":373,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Queen's University","funders":"","keywords":"Estimator; Cluster (spacecraft); Econometrics; Statistics; Variance (accounting); Monte Carlo method; Inference; Mathematics; Computer science; Economics; 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":[0.04326613,0.0007553246,0.00201968,0.002397933,0.001787773,0.00287949,0.003035813,0.002326933,0.009939196],"category_scores_gemma":[0.2550901,0.0007349303,0.001980342,0.002150884,0.005900602,0.00451751,0.00257943,0.004981554,0.001176017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001416171,"about_ca_system_score_gemma":0.001509875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004060629,"about_ca_topic_score_gemma":0.003176328,"domain_scores_codex":[0.9733988,0.01917394,0.0008741518,0.003924903,0.002073365,0.0005549017],"domain_scores_gemma":[0.7734295,0.1801103,0.005878449,0.03226079,0.007148108,0.001172774],"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":[0.0007568585,0.0002241083,0.01963454,0.0004263284,0.000862859,0.0004646053,0.0009273879,0.11329,0.001279378,0.6966835,0.01668973,0.1487608],"study_design_scores_gemma":[0.0001152918,0.0001148199,0.003964229,0.0002240802,0.0001052229,0.0001818251,0.0002295009,0.298684,0.001403592,0.6892708,0.005646713,0.0000599618],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03361167,0.00049404,0.9617535,0.0006751745,0.000170656,0.0001476228,0.0003690003,0.0004710085,0.002307247],"genre_scores_gemma":[0.6654067,0.000325717,0.3282446,0.0007693031,0.0002288425,0.0005620049,0.001559009,0.0004763358,0.002427438],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04326613,"threshold_uncertainty_score":0.2288159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1001847994653385,"score_gpt":0.3560613191813742,"score_spread":0.2558765197160357,"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."}}