{"id":"W3202397682","doi":"10.1109/ijcnn52387.2021.9534387","title":"Statistical Tests to Identify Virtual Concept Drifts","year":2021,"lang":"en","type":"article","venue":"","topic":"Data Stream Mining Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Concept drift; Nonparametric statistics; Computer science; Multivariate statistics; Classifier (UML); Statistical hypothesis testing; Artificial intelligence; Data mining; Statistical learning; Machine learning; Pattern recognition (psychology); Statistics; Mathematics; Data stream mining","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":[],"consensus_categories":[],"category_scores_codex":[0.0001222573,0.00009617739,0.0001206617,0.00004835607,0.00004687475,0.0002971042,0.0008086225,0.0000392771,0.0002734112],"category_scores_gemma":[0.0004101918,0.00009280517,0.00002057494,0.00032703,0.00003705184,0.0003208145,0.0009357517,0.00008371498,0.0004475786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000250213,"about_ca_system_score_gemma":0.0001045255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003046577,"about_ca_topic_score_gemma":0.00002574624,"domain_scores_codex":[0.9988376,0.00005422233,0.0001664202,0.0004365802,0.0002703292,0.0002348511],"domain_scores_gemma":[0.9987316,0.0002193973,0.0000207334,0.0007647366,0.00009914879,0.0001644224],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[8.299468e-7,0.00005135538,0.0002952851,0.000001476535,0.000006549388,0.0002392896,0.0002603335,0.000001479573,0.004790931,0.6346487,0.2704897,0.08921406],"study_design_scores_gemma":[0.001064059,0.001416837,0.1219989,0.0001743465,0.00002923336,0.0004831295,0.000396164,0.01124216,0.5696929,0.06974085,0.2217158,0.002045653],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00510253,0.000008608138,0.9859088,0.001170587,0.000212178,0.00006440706,0.00003823529,0.0006040336,0.006890606],"genre_scores_gemma":[0.3741809,8.97123e-7,0.6230872,0.001399355,0.00002958852,0.000009153541,0.0000217488,0.000005859744,0.001265294],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5649079,"threshold_uncertainty_score":0.5752867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02215910877476795,"score_gpt":0.3430966317365887,"score_spread":0.3209375229618207,"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."}}