{"id":"W4400811471","doi":"10.1109/csci62032.2023.00165","title":"Algorithm For Concept Drift Detection In Autonomic Smart Buildings","year":2023,"lang":"en","type":"article","venue":"","topic":"Data Stream Mining Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Trent University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Concept drift; Artificial intelligence; Data mining","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003131473,0.00008415759,0.0001030228,0.0002198613,0.00004722796,0.00009782748,0.0005891994,0.00005376078,0.000005395665],"category_scores_gemma":[0.00003837894,0.00008513418,0.00003443257,0.0004733969,0.0000230551,0.0004177826,0.0002492783,0.00006247866,0.00004785071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006185657,"about_ca_system_score_gemma":0.00003235611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001972327,"about_ca_topic_score_gemma":0.00005238051,"domain_scores_codex":[0.9991763,0.00001542757,0.0001620544,0.000330611,0.00007744134,0.0002382111],"domain_scores_gemma":[0.9994476,0.0001067731,0.00003884728,0.0003491075,0.00002276723,0.00003493429],"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":[5.768203e-7,0.000008002099,0.0000536358,0.000001466819,0.000002463241,0.000002351819,0.0001465616,0.000005534299,0.001124913,0.00485775,0.005857826,0.9879389],"study_design_scores_gemma":[0.0003519571,0.000157816,0.001963467,0.00001697191,0.00000193454,0.000006671106,0.000034252,0.7874554,0.1541864,0.01089861,0.0447014,0.0002252063],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006885633,0.000003708839,0.990176,0.0003110085,0.0002581908,0.00022699,0.000009165551,0.001708653,0.000420695],"genre_scores_gemma":[0.09883615,0.000004011154,0.9001628,0.0001623266,0.00004059902,0.0001405279,0.0000146492,0.00001177281,0.0006271662],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9877137,"threshold_uncertainty_score":0.3471671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01686603253717979,"score_gpt":0.2713891271442259,"score_spread":0.2545230946070461,"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."}}