{"id":"W2626623112","doi":"10.17615/16x7-w553","title":"BOOTSTRAPPING A SAMPLE QUANTILE WHEN THE DENSITY HAS A JUMP","year":2021,"lang":"en","type":"article","venue":"UNC Libraries","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Academia Sinica; National Science Council","keywords":"Bootstrapping (finance); Quantile; Jump; Sample (material); Statistics; Econometrics; Mathematics; Computer science; Physics; Chemistry; Chromatography","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":[0.007498119,0.0003486948,0.0007159509,0.0009096988,0.0004626296,0.0009182176,0.0009241553,0.000883223,0.002970304],"category_scores_gemma":[0.05172325,0.0003166436,0.0005369856,0.0009486325,0.001475556,0.001457003,0.001211119,0.001481796,0.0006059654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005497212,"about_ca_system_score_gemma":0.0006994429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002657996,"about_ca_topic_score_gemma":0.002305428,"domain_scores_codex":[0.9980103,0.001006547,0.00008834125,0.0002905981,0.0004093406,0.0001948003],"domain_scores_gemma":[0.988153,0.007956552,0.000531563,0.002287703,0.0008724607,0.0001987187],"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":[0.0005298245,0.000207807,0.02568986,0.000278837,0.0002641487,0.0008906037,0.0007328583,0.2293141,0.01160569,0.3530602,0.007606032,0.3698202],"study_design_scores_gemma":[0.0000363254,0.00007937512,0.00701025,0.0001042099,0.00003517718,0.000273249,0.0001591511,0.7751616,0.007258744,0.205229,0.004601726,0.00005119928],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04656964,0.0001193317,0.9495673,0.0002752791,0.00008627342,0.00004561908,0.00008036676,0.0004964771,0.002759724],"genre_scores_gemma":[0.7725649,0.0002693928,0.2233771,0.0002858508,0.000114967,0.0001602366,0.0004503014,0.0002889402,0.002488385],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007498119,"threshold_uncertainty_score":0.03965431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02639318013182532,"score_gpt":0.2092142718127181,"score_spread":0.1828210916808928,"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."}}