{"id":"W4410087063","doi":"10.1109/ccnc54725.2025.10976101","title":"Smart Building Management Application: Unsupervised First and Second-Order Moments Domain Adaptation for Occupant Behaviour Prediction Using IoT Sensor Data","year":2025,"lang":"en","type":"article","venue":"","topic":"Impact of Light on Environment and Health","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Domain adaptation; Adaptation (eye); Domain (mathematical analysis); Internet of Things; Order (exchange); Artificial intelligence; Real-time computing; Data mining; Embedded system; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003244445,0.0005371742,0.000383744,0.0004107213,0.0001902065,0.0003563656,0.0005627882,0.0004186011,0.001299644],"category_scores_gemma":[0.0007660073,0.0001534832,0.0003944186,0.0004700757,0.0001479562,0.0003825294,0.0004670838,0.0006631539,0.0004583629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002359582,"about_ca_system_score_gemma":0.0003981404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005124337,"about_ca_topic_score_gemma":0.008271981,"domain_scores_codex":[0.9998723,0.00002225266,0.000005807301,0.00004453791,0.00003155868,0.00002346967],"domain_scores_gemma":[0.9998672,0.00003568993,0.00001257528,0.00002568728,0.00004315036,0.00001559442],"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":[0.0004178784,0.0004692181,0.01810779,0.0001345743,0.0001767977,0.0004677522,0.0002495592,0.3371638,0.03709244,0.002673964,0.01594847,0.5870978],"study_design_scores_gemma":[0.000006832052,0.0000262963,0.003124116,0.000003594259,0.000007576607,0.00004718745,0.00002656008,0.9899583,0.004700572,0.000773573,0.00131622,0.000009134863],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1892724,0.0004295145,0.7953765,0.0004933015,0.0002394151,0.000100639,0.001026527,0.008546765,0.004514989],"genre_scores_gemma":[0.7965273,0.0001877729,0.1976228,0.0001571165,0.00007328385,0.000104922,0.001576086,0.0001681592,0.003582583],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005124337,"threshold_uncertainty_score":0.010189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03839307845157314,"score_gpt":0.298252345155896,"score_spread":0.2598592667043229,"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."}}