{"id":"W1991138897","doi":"10.1198/tast.2009.0008","title":"Influence Measures for General Linear Models With Correlated Errors","year":2009,"lang":"en","type":"article","venue":"The American Statistician","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Sciences and Engineering Research Council of Canada","funders":"","keywords":"Generalized linear model; General linear model; Linear regression; Linear model; Mathematics; Hierarchical generalized linear model; Simple (philosophy); Proper linear model; Statistics; Log-linear model; Generalized linear mixed model; Standard error; Econometrics; Applied mathematics; Simple linear regression; Bayesian multivariate linear regression","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":[0.009383845,0.001758252,0.001583291,0.003345623,0.0007315257,0.002203766,0.001837713,0.001771886,0.004928056],"category_scores_gemma":[0.06733176,0.0006174504,0.001987887,0.00359028,0.002409909,0.004160847,0.002369292,0.002848256,0.001190596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00158622,"about_ca_system_score_gemma":0.001198034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001491476,"about_ca_topic_score_gemma":0.001840375,"domain_scores_codex":[0.9926893,0.004150679,0.0004361283,0.0006951554,0.001666924,0.0003618123],"domain_scores_gemma":[0.9534621,0.03842163,0.003528402,0.002199957,0.001994393,0.0003934846],"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":[0.00002436559,0.00003329851,0.001217042,0.0002257683,0.0001256917,0.0002223646,0.0002337985,0.0618173,0.000732879,0.8939311,0.003290776,0.03814564],"study_design_scores_gemma":[0.00001267218,0.00003668639,0.0007752915,0.00009013261,0.00006959424,0.0001809683,0.00003787098,0.2305975,0.0005071768,0.7623356,0.005317948,0.00003861508],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00405291,0.001209154,0.9900731,0.0002611066,0.0000684511,0.00004009377,0.00009681068,0.0001190971,0.004079294],"genre_scores_gemma":[0.4204055,0.009033802,0.5538487,0.001109165,0.001761854,0.001452998,0.0009579621,0.0005858871,0.01084417],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009383845,"threshold_uncertainty_score":0.04962707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07501124733594747,"score_gpt":0.3786968497289507,"score_spread":0.3036856023930032,"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."}}