{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005013169,0.001414019,0.001489332,0.004457999,0.001241751,0.006177482,0.002332008,0.00177467,0.06140189],"category_scores_gemma":[0.03699304,0.0005352737,0.001649052,0.007547013,0.003091921,0.006888316,0.002904445,0.003351867,0.02411592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002178816,"about_ca_system_score_gemma":0.001611826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002343619,"about_ca_topic_score_gemma":0.001087795,"domain_scores_codex":[0.9918857,0.002132194,0.0007706431,0.002180945,0.002588486,0.0004420312],"domain_scores_gemma":[0.9858254,0.006465049,0.001915322,0.002660623,0.002696596,0.0004370176],"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":[0.0001257429,0.00004683173,0.002825289,0.000608563,0.00008314454,0.0001862492,0.0004120098,0.007388772,0.0006962693,0.7197216,0.1210548,0.1468507],"study_design_scores_gemma":[0.00002675292,0.00004505113,0.00206288,0.0003716786,0.00003646779,0.0003794679,0.0002007166,0.01368633,0.0009282687,0.5933042,0.3888917,0.00006649952],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007940155,0.01507029,0.8331031,0.005323739,0.002943709,0.0003215084,0.02013387,0.006625741,0.1085379],"genre_scores_gemma":[0.372382,0.02191684,0.4370385,0.005391667,0.007526463,0.002250451,0.0390106,0.00580817,0.1086753],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.06140189,"threshold_uncertainty_score":0,"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."}}