{"id":"W2091466376","doi":"10.1007/s00362-011-0365-6","title":"Discrete approximations of continuous and mixed measures on a compact interval","year":2011,"lang":"en","type":"article","venue":"Statistical Papers","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Ryerson University","keywords":"Nonparametric statistics; Discretization; Interval (graph theory); Mathematics; Parametric statistics; Measure (data warehouse); Applied mathematics; Zero (linguistics); Goodness of fit; Statistics; Computer science; Mathematical analysis; Combinatorics; Data mining","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":[0.009149318,0.001345889,0.001977136,0.002896314,0.0004833049,0.003927897,0.003963298,0.002016472,0.00246979],"category_scores_gemma":[0.069097,0.001100446,0.001624317,0.002685892,0.003205735,0.005568111,0.002593688,0.004258872,0.0005010462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001686381,"about_ca_system_score_gemma":0.0008358692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001266046,"about_ca_topic_score_gemma":0.0007131029,"domain_scores_codex":[0.9936964,0.003223834,0.0003588125,0.0009745809,0.001483554,0.0002627889],"domain_scores_gemma":[0.9391776,0.047516,0.004879608,0.005238771,0.002108265,0.001079743],"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":[0.0003044318,0.000103606,0.002521191,0.0002945367,0.0001423177,0.0002870682,0.0004399286,0.1468935,0.001809135,0.821126,0.001105712,0.02497256],"study_design_scores_gemma":[0.00004676195,0.00009001524,0.0007240744,0.00007529265,0.00004404163,0.0002386711,0.000101316,0.659355,0.0006855402,0.3365651,0.002046478,0.00002758363],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01701887,0.0006449876,0.980666,0.0002977342,0.00009703635,0.00001767537,0.0001006967,0.0001179904,0.001039019],"genre_scores_gemma":[0.4793895,0.001714493,0.511763,0.0002342638,0.0005396479,0.0002891437,0.0006816208,0.0001496987,0.005238581],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009149318,"threshold_uncertainty_score":0.04838675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1305480211163389,"score_gpt":0.3596558829496474,"score_spread":0.2291078618333085,"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."}}