{"id":"W4244431306","doi":"10.1002/9780470057339.vaq002","title":"Quantiles","year":2006,"lang":"en","type":"other","venue":"Encyclopedia of Environmetrics","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Quantile; Quartile; Percentile; Statistics; Sample (material); Mathematics; Population; Econometrics; Distribution (mathematics); Demography","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002255953,0.0002824598,0.0006016586,0.0005082584,0.00001594351,0.0000062768,0.00028807,0.0003744875,0.00291974],"category_scores_gemma":[0.002603662,0.0002502639,0.0001173844,0.0003940313,0.0001658064,0.00001166724,0.00008666921,0.0002309244,0.0001063395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000207715,"about_ca_system_score_gemma":0.00002399691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001731636,"about_ca_topic_score_gemma":0.00002380328,"domain_scores_codex":[0.9985192,0.00008499415,0.0004425123,0.0003025854,0.0004090986,0.000241577],"domain_scores_gemma":[0.9973483,0.001598978,0.0004519607,0.0005179904,0.00001096694,0.0000718248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001403331,0.0001330267,0.000655206,0.0002128047,0.00002440207,0.000007226655,0.000008509483,2.940152e-7,0.000002909802,0.07963799,0.8982918,0.02102446],"study_design_scores_gemma":[0.0001250053,0.00004950119,0.0009502774,0.00008531893,0.00008771335,9.792682e-7,0.000005232331,0.00001137274,0.00001660297,0.06630816,0.9320734,0.0002864558],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00003095544,0.001142778,0.09129667,0.000006619499,0.0003351148,0.0001804187,0.0002550881,0.0000807401,0.9066716],"genre_scores_gemma":[0.00003675625,0.002102923,0.4231176,0.000008904428,0.0002762583,0.000008849379,0.00001706136,0.0003209324,0.5741107],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3325609,"threshold_uncertainty_score":0.9999949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03893604596005592,"score_gpt":0.3157724308797913,"score_spread":0.2768363849197354,"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."}}