{"id":"W4251724301","doi":"10.1002/9781118445112.stat07412","title":"Quantiles","year":2014,"lang":"en","type":"other","venue":"Wiley StatsRef: Statistics Reference Online","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":0,"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005055885,0.001295456,0.001398383,0.004266806,0.001166946,0.005778279,0.002103549,0.001755168,0.07491928],"category_scores_gemma":[0.03926492,0.0004888866,0.001452782,0.007436988,0.003076155,0.005728951,0.002590602,0.003333848,0.0282872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002272379,"about_ca_system_score_gemma":0.001686203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00284482,"about_ca_topic_score_gemma":0.001390931,"domain_scores_codex":[0.9924993,0.002169267,0.0006678022,0.001923658,0.002306605,0.0004335016],"domain_scores_gemma":[0.9843922,0.007644321,0.002212671,0.002553113,0.00273511,0.0004625407],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001128885,0.00004339248,0.002990604,0.0005779822,0.00007670577,0.0001504785,0.0004086872,0.006870274,0.0005127111,0.706849,0.158866,0.1225412],"study_design_scores_gemma":[0.00002650142,0.00004277454,0.002390315,0.0003921218,0.00003176854,0.0003139059,0.0002001977,0.0105496,0.0006357867,0.5680926,0.4172587,0.00006574647],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.009569492,0.01760245,0.7506598,0.007785623,0.003838854,0.0003608211,0.03191354,0.007475314,0.1707941],"genre_scores_gemma":[0.4277795,0.02369177,0.3364587,0.00713956,0.008363593,0.002445591,0.04616917,0.007073506,0.1408786],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.07491928,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1838174345595944,"score_gpt":0.4574009396134702,"score_spread":0.2735835050538759,"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."}}