{"id":"W4385362588","doi":"10.1115/1.4063052","title":"Parametric Analysis and Multi-Objective Optimization for Energy-Efficient and High-Performance HVAC Air Filter Design and Selection","year":2023,"lang":"en","type":"article","venue":"ASME Journal of Engineering for Sustainable Buildings and Cities","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"HVAC; Sizing; Energy consumption; Air conditioning; Efficient energy use; Airflow; Indoor air quality; Filter (signal processing); Range (aeronautics); Reliability engineering; Computer science; Engineering; Multi-objective optimization; Mathematical optimization; Mechanical engineering; Environmental engineering; Electrical engineering","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":[0.001407215,0.001032479,0.0008717161,0.000783581,0.0004456694,0.001080244,0.0007733757,0.001311107,0.001886506],"category_scores_gemma":[0.002254246,0.0005985652,0.001274965,0.0006528756,0.0005594165,0.0005408041,0.0008370209,0.001045292,0.000182586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008380677,"about_ca_system_score_gemma":0.00120372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00488225,"about_ca_topic_score_gemma":0.003325104,"domain_scores_codex":[0.9995503,0.000224125,0.00001459192,0.00004918492,0.0001064683,0.00005526213],"domain_scores_gemma":[0.9989585,0.0007927573,0.0000957524,0.00002800578,0.000106545,0.00001844148],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000005804245,0.00001102276,0.00008844227,0.00001753571,0.000007116108,0.00001166225,0.000005824728,0.9962952,0.0003414545,0.0006577827,0.00003839433,0.002519795],"study_design_scores_gemma":[0.000001262433,0.00001030152,0.00003274974,0.000001971992,0.000001879747,0.000002003451,0.000002062589,0.9995812,0.000109995,0.0001869425,0.00006840398,0.000001295906],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05038871,0.0005445001,0.9416417,0.0001544633,0.00002916875,0.0001014039,0.00006408505,0.0001673161,0.006908544],"genre_scores_gemma":[0.8830227,0.0004730404,0.1130639,0.00004117067,0.00002217139,0.0003796354,0.00008599357,0.00004405042,0.002867271],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00488225,"threshold_uncertainty_score":0.00970763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005958900339383753,"score_gpt":0.1896616041124939,"score_spread":0.1837027037731101,"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."}}