{"id":"W4383216509","doi":"10.1016/j.jmva.2023.105210","title":"Testing for changes in linear models using weighted residuals","year":2023,"lang":"en","type":"article","venue":"Journal of Multivariate Analysis","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Actua; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematics; CUSUM; Statistics; Monte Carlo method; Linear model; Linear regression; Applied mathematics; Econometrics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gpt","categories":[],"domain":null,"study_design":"theoretical_or_conceptual","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"grok","categories":[],"domain":null,"study_design":"theoretical_or_conceptual","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"opus","categories":[],"domain":null,"study_design":"simulation_or_modeling","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002563501,0.0001153932,0.0006159209,0.0009363169,0.00006079471,0.00002755033,0.0001482482,0.00007476989,0.00002553708],"category_scores_gemma":[0.007315607,0.0000875545,0.0001787337,0.00231125,0.00001796855,0.00009119683,0.00003918207,0.0001556233,8.615742e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004835511,"about_ca_system_score_gemma":0.00005143567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001106078,"about_ca_topic_score_gemma":0.00003058162,"domain_scores_codex":[0.9984685,0.0002033194,0.000685623,0.0001363545,0.0002669056,0.000239327],"domain_scores_gemma":[0.993663,0.005079654,0.0005581373,0.0001367132,0.0004858012,0.00007673429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001466825,0.002003103,0.09910202,0.001685244,0.01886186,0.0009430994,0.01479064,0.2777781,0.2354645,0.1960302,0.001646235,0.1502282],"study_design_scores_gemma":[0.0004092195,0.0000692609,0.002759131,0.00009003974,0.0008175375,0.000002457467,0.0001642845,0.770206,0.0003967918,0.2249886,0.000008692859,0.00008801108],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3146934,0.00001920324,0.6848528,0.0001767391,0.00006889421,0.00009277773,0.00002260283,0.00001608393,0.00005749891],"genre_scores_gemma":[0.237974,0.000008830052,0.7618076,0.00002185102,0.0001193286,0.00000313356,0.000001496232,0.00001436907,0.00004936482],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4924279,"threshold_uncertainty_score":0.8757994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2842362499878697,"score_gpt":0.4522132712824589,"score_spread":0.1679770212945892,"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."}}