{"id":"W4404635902","doi":"10.1016/j.enbuild.2024.115087","title":"Implementation of next-generation occupant-centric sequences of operation in an office building using supervisory control","year":2024,"lang":"en","type":"article","venue":"Energy and Buildings","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Surrey Memorial Hospital; Carleton University","funders":"National Research Council Canada","keywords":"Supervisory control; Control (management); Engineering; Architectural engineering; Computer science; Automotive engineering; Control engineering; Artificial intelligence","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":[0.000709134,0.0003797355,0.0002356087,0.0002973469,0.0002826777,0.0004408037,0.0006387228,0.000239316,0.001080934],"category_scores_gemma":[0.001487461,0.0001664017,0.0001977518,0.0001335645,0.0002793038,0.0002752576,0.0003925934,0.0003340518,0.0001675506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000426999,"about_ca_system_score_gemma":0.0007249031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003604743,"about_ca_topic_score_gemma":0.004439119,"domain_scores_codex":[0.9994124,0.000163496,0.00003002073,0.0001217937,0.0001976492,0.00007463169],"domain_scores_gemma":[0.9991294,0.0002722553,0.0001389765,0.0001787735,0.0002037003,0.00007702066],"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":[0.00117461,0.002277347,0.02424631,0.0003079633,0.00009221849,0.0006062739,0.00156836,0.3214772,0.1330698,0.003172655,0.001287666,0.5107197],"study_design_scores_gemma":[0.0002128578,0.004511942,0.03297161,0.00005302265,0.00007554092,0.0004291427,0.0007937059,0.8292642,0.121124,0.001528391,0.008940516,0.00009517202],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.822651,0.00007423007,0.169402,0.00007745311,0.00003229265,0.0002673408,0.00006042348,0.001947931,0.005487282],"genre_scores_gemma":[0.979569,0.0000104005,0.01986253,0.000008156736,0.000002145003,0.00003055465,0.00002704097,0.00001249968,0.0004776091],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003604743,"threshold_uncertainty_score":0.007167518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03621562867777681,"score_gpt":0.2652208732445553,"score_spread":0.2290052445667785,"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."}}