{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01990113,0.001100503,0.001792004,0.005956787,0.0008692883,0.003021307,0.003606866,0.001903063,0.01173867],"category_scores_gemma":[0.1930749,0.0004774045,0.00153439,0.00559641,0.002823713,0.004279009,0.002796443,0.0043644,0.003455067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00107483,"about_ca_system_score_gemma":0.001236469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001369749,"about_ca_topic_score_gemma":0.0008062734,"domain_scores_codex":[0.9823623,0.01033012,0.0008473278,0.002488246,0.003417976,0.0005539805],"domain_scores_gemma":[0.8700798,0.0868689,0.005222367,0.02077908,0.01605521,0.0009946699],"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":[0.0004786863,0.0001131085,0.00464505,0.0005587474,0.0003644861,0.0003175896,0.0005032289,0.06844089,0.001577647,0.6286815,0.02044003,0.273879],"study_design_scores_gemma":[0.0001384347,0.0001787279,0.004777456,0.000621993,0.0001232774,0.0004514916,0.0003294709,0.243634,0.00488802,0.7127067,0.03197272,0.0001776431],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01044223,0.001634498,0.9771962,0.0003366088,0.0002988124,0.00009839411,0.0008645299,0.0007715288,0.008357317],"genre_scores_gemma":[0.4581152,0.00195836,0.5271103,0.0005471399,0.0007459605,0.0009131487,0.004732379,0.001245462,0.004631931],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01990113,"threshold_uncertainty_score":0.1052485,"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."}}