{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003699355,0.0009298771,0.001527996,0.0003368732,0.0001119297,0.00006923307,0.0006351215,0.0006068926,0.005448719],"category_scores_gemma":[0.002548697,0.0008088197,0.0001017975,0.0001990412,0.0003741207,0.00004571705,0.0002047876,0.0009125514,0.0003827309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008592967,"about_ca_system_score_gemma":0.0001950249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001452943,"about_ca_topic_score_gemma":0.001075639,"domain_scores_codex":[0.9959024,0.0003413046,0.001003839,0.001048189,0.0008170537,0.00088719],"domain_scores_gemma":[0.995082,0.002146396,0.0008941802,0.00120681,0.0002426053,0.0004280032],"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":[0.00001735374,0.0001784952,0.000002547995,0.0004418663,0.00007439501,0.0000336723,0.00002036301,0.000002089564,0.00001065695,0.5074626,0.453598,0.03815796],"study_design_scores_gemma":[0.000376726,0.0001527952,0.00000449469,0.0006389379,0.0001501493,0.000006095149,0.00002602367,0.001279658,0.000003912326,0.5103656,0.4863306,0.0006649913],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000002245835,0.000470321,0.8560925,0.0000427613,0.0004782852,0.0005032984,0.04593628,0.0005259634,0.0959484],"genre_scores_gemma":[0.00002537272,0.001640603,0.7167213,0.0001410314,0.0004283744,0.00003991867,0.002532642,0.00096755,0.2775032],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1815548,"threshold_uncertainty_score":0.9994363,"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."}}