{"id":"W4210879397","doi":"10.1002/9780470057339.var040","title":"Residuals, Studentized","year":2001,"lang":"en","type":"other","venue":"Encyclopedia of Environmetrics","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Studentized range; Studentized residual; Outlier; Linear regression; Statistics; Anomaly detection; Regression; Mathematics; Computer science; Econometrics; Data mining; Standard error","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":[0.004032809,0.0011806,0.001043063,0.002637746,0.0004880169,0.002714974,0.002268817,0.001279813,0.01942628],"category_scores_gemma":[0.03372887,0.0003764855,0.0007979004,0.005533307,0.001587317,0.002722914,0.00162682,0.002262193,0.01196083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009593948,"about_ca_system_score_gemma":0.001766117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0030867,"about_ca_topic_score_gemma":0.002602033,"domain_scores_codex":[0.9950351,0.00174371,0.000295099,0.0007984407,0.0019604,0.000167294],"domain_scores_gemma":[0.9929784,0.002513234,0.001077006,0.001111076,0.002176639,0.0001437466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003531219,0.0001587476,0.004306379,0.001799826,0.0001656078,0.0003221236,0.0004696648,0.02554441,0.006344744,0.2310541,0.0590255,0.6704558],"study_design_scores_gemma":[0.0001216588,0.0005266727,0.01113696,0.0008583437,0.0001274537,0.001098119,0.0008619793,0.1278236,0.0237921,0.3879246,0.4454382,0.000290327],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.0072108,0.009317752,0.9574777,0.001274552,0.001188133,0.0002349686,0.002287309,0.003014149,0.01799468],"genre_scores_gemma":[0.2347794,0.02118733,0.6517158,0.001594111,0.001333902,0.001394807,0.006421517,0.0028749,0.07869821],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01942628,"threshold_uncertainty_score":0.06498742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05993083088784815,"score_gpt":0.3831145147090919,"score_spread":0.3231836838212437,"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."}}