{"id":"W4248034055","doi":"10.1002/9781118445112.stat03879","title":"Bootstrap and Jackknife, Overview","year":2014,"lang":"en","type":"other","venue":"Wiley StatsRef: Statistics Reference Online","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Jackknife resampling; Resampling; Exploit; Variance (accounting); Permutation (music); Econometrics; Computer science; Variety (cybernetics); Confidence interval; Resource (disambiguation); Quarter (Canadian coin); Statistics; Data mining; Mathematics; Artificial intelligence; Geography; Estimator; Economics; Computer security","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.018817,0.001822265,0.002406019,0.006952143,0.0009001924,0.003554493,0.002948208,0.002982344,0.005991762],"category_scores_gemma":[0.05396665,0.001243489,0.0009618839,0.008916021,0.004211336,0.004829433,0.002313113,0.005863543,0.007751069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00127748,"about_ca_system_score_gemma":0.002461513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002893828,"about_ca_topic_score_gemma":0.001738874,"domain_scores_codex":[0.9849896,0.008503344,0.0008362723,0.001627361,0.003754497,0.0002888829],"domain_scores_gemma":[0.9768092,0.01663951,0.001127147,0.001264614,0.003687513,0.0004720498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002424811,0.00008802139,0.00230741,0.004000555,0.0002474452,0.0003020859,0.0005271735,0.00846839,0.0006131759,0.2955371,0.09180742,0.5958588],"study_design_scores_gemma":[0.00003844215,0.0001057574,0.002808529,0.002650656,0.00007547149,0.000758141,0.0002688112,0.01153287,0.0008081291,0.4654101,0.5154264,0.0001167985],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001542693,0.3391579,0.6173962,0.007107559,0.003061354,0.0002175601,0.000864577,0.001678839,0.02897331],"genre_scores_gemma":[0.05805377,0.4492878,0.4542312,0.006278699,0.01338284,0.001084302,0.002118104,0.00200847,0.01355469],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.018817,"threshold_uncertainty_score":0.09951502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2015288588682948,"score_gpt":0.4307684328331014,"score_spread":0.2292395739648066,"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."}}