{"id":"W2547935594","doi":"","title":"The Subcluster Wild Bootstrap for Few (Treated) Clusters","year":2016,"lang":"en","type":"preprint","venue":"Carleton University's Institutional Repository (MacOdrum Library, Carleton University)","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Queen's University","keywords":"Cluster (spacecraft); Inference; Econometrics; Statistics; Computer science; Mathematics; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03474914,0.00113158,0.002161128,0.002455165,0.002692884,0.002470693,0.004719731,0.002655621,0.007171305],"category_scores_gemma":[0.1696953,0.0007760307,0.001923979,0.003224033,0.006087935,0.004283967,0.004656522,0.005398129,0.002064161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001747495,"about_ca_system_score_gemma":0.003714175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00462936,"about_ca_topic_score_gemma":0.005397085,"domain_scores_codex":[0.9700749,0.02295042,0.000733026,0.003330543,0.002300313,0.0006108119],"domain_scores_gemma":[0.8904163,0.06396873,0.003993532,0.03321087,0.007093315,0.001317171],"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":[0.001089114,0.0002183965,0.02063692,0.0004372838,0.000898457,0.0004886904,0.001571462,0.06973074,0.002124626,0.6255614,0.02343085,0.253812],"study_design_scores_gemma":[0.0002014863,0.0001691808,0.003593671,0.0001560045,0.0001410769,0.000217404,0.0003830002,0.3079152,0.003184492,0.6716821,0.01227315,0.00008319262],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01548569,0.0003019937,0.9804515,0.0006916106,0.0001607095,0.0001904468,0.0002519762,0.0004831974,0.001982833],"genre_scores_gemma":[0.4181521,0.0004449779,0.5718921,0.001408643,0.0003739463,0.001240531,0.001453579,0.0006896204,0.004344399],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03474914,"threshold_uncertainty_score":0.1837732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04417783807424663,"score_gpt":0.2661698602942464,"score_spread":0.2219920222199998,"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."}}