{"id":"W3125391873","doi":"","title":"Diagnostics for the bootstrap and fast double bootstrap","year":2017,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Bootstrapping (finance); Series (stratigraphy); Context (archaeology); Computer science; Bootstrap model; Autocorrelation; Bootstrap aggregating; Gauge (firearms); Econometrics; Artificial intelligence; Statistics; Mathematics; Particle physics; Physics","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":[0.02247662,0.001377872,0.001956481,0.004556897,0.0009477451,0.002543874,0.002126422,0.003809976,0.005630706],"category_scores_gemma":[0.2056564,0.00075627,0.001272114,0.002702455,0.003513201,0.004094095,0.003429247,0.003785306,0.001812369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001089994,"about_ca_system_score_gemma":0.001889299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001038424,"about_ca_topic_score_gemma":0.0005426772,"domain_scores_codex":[0.9813809,0.01259335,0.0007983763,0.001370873,0.003294008,0.0005625879],"domain_scores_gemma":[0.8681769,0.1021208,0.008523133,0.01164805,0.008251436,0.001279588],"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":[0.0005991843,0.0001038844,0.01040906,0.00062186,0.0002233644,0.000536583,0.0004581177,0.06798226,0.002792545,0.7458589,0.01065047,0.1597638],"study_design_scores_gemma":[0.0001236341,0.000268315,0.003438886,0.0003234143,0.00004824015,0.0006111952,0.0001644845,0.3888864,0.003279236,0.5911157,0.01162203,0.0001184476],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01238677,0.001309448,0.9816847,0.0007835032,0.0002041636,0.0001151945,0.0003305217,0.000508132,0.00267761],"genre_scores_gemma":[0.5192611,0.001330999,0.4726796,0.0008316879,0.0006997219,0.001007671,0.001188086,0.0004017038,0.002599462],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02247662,"threshold_uncertainty_score":0.1188691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09886542386916725,"score_gpt":0.3691208963967289,"score_spread":0.2702554725275617,"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."}}