{"id":"W2341871055","doi":"10.7202/1036912ar","title":"Wild Cluster Bootstrap Confidence Intervals","year":2016,"lang":"en","type":"article","venue":"L Actualité économique","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Studentized range; Confidence interval; Statistics; Mathematics; Wald test; Covariance matrix; Covariance; Robust confidence intervals; Cluster (spacecraft); Bootstrap aggregating; Econometrics; Statistical hypothesis testing; Computer science; Standard error","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005555754,0.0001995482,0.0003605824,0.00004056824,0.00004651414,0.00003055495,0.0002305632,0.0001182944,0.0005870932],"category_scores_gemma":[0.001980863,0.0001277232,0.0001017962,0.00003214355,0.0001329666,0.0002576489,0.00008973063,0.0001109197,0.0001138188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006668032,"about_ca_system_score_gemma":0.00003588751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001539597,"about_ca_topic_score_gemma":0.00002440583,"domain_scores_codex":[0.9986089,0.0001817155,0.0004650536,0.000356764,0.00005763589,0.0003299042],"domain_scores_gemma":[0.995346,0.00383929,0.0001489437,0.0004421788,0.00006173548,0.0001618442],"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":[0.00004107288,0.00003341903,0.00002853421,0.00003445414,0.00002494345,0.000004117185,0.0002297809,8.709751e-7,0.002308233,0.9557487,0.001294385,0.04025145],"study_design_scores_gemma":[0.000498901,0.00006944981,0.00005782433,0.0001404929,0.00001550959,0.00001229649,0.00003651285,0.00009711542,0.009376597,0.9737152,0.01574927,0.0002308103],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05229336,0.00001617265,0.940603,0.001905478,0.0001591462,0.0002571755,0.00005537747,0.0001116274,0.004598713],"genre_scores_gemma":[0.6668778,0.00003754706,0.3251086,0.001807123,0.0001546477,0.00007193158,0.000001127078,0.00004367483,0.005897559],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6154944,"threshold_uncertainty_score":0.642826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2442124343796253,"score_gpt":0.4217108854657877,"score_spread":0.1774984510861624,"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."}}