{"id":"W4255479402","doi":"10.1002/9781118445112.stat06177.pub2","title":"Bootstrap Inference","year":2016,"lang":"en","type":"other","venue":"Wiley StatsRef: Statistics Reference Online","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Confidence interval; Inference; Statistical inference; Estimator; Statistical hypothesis testing; Computer science; Statistics; Econometrics; Mathematics; 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":[0.01311343,0.001981264,0.002692969,0.005185781,0.001443276,0.004407011,0.003440269,0.001560863,0.05072824],"category_scores_gemma":[0.1106985,0.000864343,0.001913187,0.00467071,0.002258243,0.003311538,0.003323804,0.004631736,0.04108804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009393046,"about_ca_system_score_gemma":0.002919399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001754021,"about_ca_topic_score_gemma":0.001612991,"domain_scores_codex":[0.9859221,0.007555733,0.0005920688,0.001933499,0.003578728,0.0004177565],"domain_scores_gemma":[0.9587226,0.02416847,0.001825397,0.009023326,0.005582811,0.0006774752],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002697568,0.000189346,0.003689324,0.001104298,0.000495585,0.000418913,0.0003547912,0.02397284,0.00156742,0.4125637,0.1168378,0.4385361],"study_design_scores_gemma":[0.0000896961,0.00005255982,0.001240963,0.0007315415,0.0001133134,0.0002697894,0.0001005875,0.1023213,0.00218429,0.8072685,0.08557297,0.00005465101],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001469093,0.0007494161,0.9692532,0.0007140723,0.0004542223,0.0002675831,0.001913763,0.001755907,0.02342273],"genre_scores_gemma":[0.1314662,0.002802196,0.8237636,0.001544129,0.001678132,0.001594791,0.009318573,0.003599179,0.02423318],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.05072824,"threshold_uncertainty_score":0.1697029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1753314337792259,"score_gpt":0.4555760286521424,"score_spread":0.2802445948729164,"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."}}