{"id":"W4392174481","doi":"10.37394/23205.2023.22.38","title":"Drift Detection and Model Update using Unsupervised AutoML in IoT","year":2023,"lang":"en","type":"article","venue":"WSEAS TRANSACTIONS ON COMPUTERS","topic":"Data Stream Mining Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton","funders":"","keywords":"Computer science; Artificial intelligence; Machine learning","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":[0.0002207777,0.0001736373,0.0001624053,0.0006721682,0.0001727895,0.0001629717,0.000479513,0.00008161793,0.000002243773],"category_scores_gemma":[0.000004057129,0.000193914,0.00005225608,0.001090526,0.00004702497,0.0004128647,0.00003700897,0.0002198516,0.00001829726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009274614,"about_ca_system_score_gemma":0.00005422144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008080975,"about_ca_topic_score_gemma":0.00005080148,"domain_scores_codex":[0.9986927,0.00006720317,0.0002144028,0.000508144,0.0002124289,0.000305102],"domain_scores_gemma":[0.999246,0.00007461585,0.00003874292,0.0005131221,0.00002739482,0.0001001414],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001890993,0.0001043014,0.0000636905,0.00001954129,0.00002573644,0.00003637466,0.0006805474,0.4918837,0.002442944,0.0008141013,0.00015152,0.5037586],"study_design_scores_gemma":[0.0003079122,0.00005472236,0.0005481426,0.00005729881,0.000006508598,0.0000152037,0.00001213984,0.9951384,0.002532565,0.001012389,0.000124003,0.0001906842],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09830032,0.000007761891,0.8996803,0.0003192706,0.0002379645,0.0001634205,0.00001118151,0.001245521,0.0000342426],"genre_scores_gemma":[0.7907581,0.00002636119,0.2089759,0.0001798002,0.00001079946,0.0000184763,0.000003342854,0.00001604395,0.00001119129],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6924577,"threshold_uncertainty_score":0.7907584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02919546369918717,"score_gpt":0.2689107909725903,"score_spread":0.2397153272734031,"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."}}