{"id":"W2967008572","doi":"10.3390/proceedings2019023003","title":"Improving Energy Savings of a Library Building through Mixed Mode Hybrid Ventilation","year":2019,"lang":"en","type":"article","venue":"","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cooling load; Natural ventilation; Ventilation (architecture); Energy consumption; Thermal comfort; Zero-energy building; Air conditioning; Environmental science; Mode (computer interface); Passive cooling; Automotive engineering; Architectural engineering; Simulation; Engineering; Computer science; Meteorology; Thermal; Mechanical engineering; Electrical engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0001051376,0.0002570167,0.0001588116,0.0001736928,0.0003130283,0.0004203165,0.0005016654,0.00011351,0.001741542],"category_scores_gemma":[0.00009633794,0.00009146242,0.0002140599,0.0002574121,0.0001815979,0.0001980212,0.0002717965,0.0001079581,0.0001240463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001661599,"about_ca_system_score_gemma":0.001218385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2171061,"about_ca_topic_score_gemma":0.4232394,"domain_scores_codex":[0.9999175,0.00001047027,0.000001395387,0.00001181898,0.00002609102,0.00003268717],"domain_scores_gemma":[0.9999722,0.000005613902,0.000002996523,0.000002229785,0.000008785738,0.000008099701],"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":[0.001318346,0.0004174951,0.02523642,0.0002403096,0.0000795541,0.0003351618,0.0002895429,0.5963017,0.2181452,0.003335099,0.001271339,0.1530298],"study_design_scores_gemma":[0.0001075463,0.001149991,0.05855333,0.00001859403,0.0001122803,0.0001225697,0.0005298643,0.8273891,0.1056348,0.0006042495,0.005718378,0.00005943629],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9842221,0.0000901309,0.01043774,0.0000269494,0.00000301267,0.0000152085,0.00009082734,0.0001658878,0.004948142],"genre_scores_gemma":[0.9975573,0.00002450548,0.001473857,0.000002177872,3.111541e-7,0.000003035368,0.00002040675,0.000004744568,0.0009136912],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2171061,"threshold_uncertainty_score":0.4316848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003393894976631969,"score_gpt":0.1717129248853433,"score_spread":0.1683190299087113,"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."}}