{"id":"W7142478480","doi":"10.71465/ajmet2004","title":"Optimization of HVAC Systems for Energy Efficiency in Commercial Buildings","year":2020,"lang":"","type":"article","venue":"American Journal Of Mechanical Engineering And Technology","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"HVAC; Efficient energy use; Air conditioning; Renewable energy; Energy (signal processing); Energy conservation","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004262908,0.0006241641,0.0003609694,0.0003946975,0.0005169176,0.00117032,0.0003731649,0.0004575795,0.002053183],"category_scores_gemma":[0.0006457618,0.0002750249,0.0002367479,0.0004818649,0.0002866739,0.0005544128,0.0003443112,0.000331625,0.0002255505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001081522,"about_ca_system_score_gemma":0.0005974028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005069934,"about_ca_topic_score_gemma":0.005888816,"domain_scores_codex":[0.9996213,0.0001272159,0.00001587162,0.00004271408,0.0001367738,0.00005611657],"domain_scores_gemma":[0.9998096,0.00009098524,0.00002479476,0.00001044856,0.00005382684,0.00001030443],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0003335098,0.0002495394,0.002444511,0.0002708668,0.00006478689,0.00009427543,0.00008342668,0.877496,0.02771251,0.003736144,0.0007009053,0.08681354],"study_design_scores_gemma":[0.00004733954,0.0003786111,0.005019349,0.00002405126,0.00004570806,0.00005844266,0.0002019502,0.9726451,0.01733853,0.001786397,0.002433358,0.00002119234],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8335684,0.004276851,0.1359752,0.0002942171,0.00004258075,0.0001651567,0.000169438,0.0002805903,0.02522751],"genre_scores_gemma":[0.9948584,0.0003202868,0.004006005,0.000007250849,0.000004790769,0.00001866235,0.00003022781,0.00001280077,0.000741724],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005069934,"threshold_uncertainty_score":0.01008087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005504871475078299,"score_gpt":0.1907264589752794,"score_spread":0.1852215875002011,"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."}}