{"id":"W3042101811","doi":"10.3390/buildings10070124","title":"Mitigation Strategies for Overheating and High Carbon Dioxide Concentration within Institutional Buildings: A Case Study in Toronto, Canada","year":2020,"lang":"en","type":"article","venue":"Buildings","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Overheating (electricity); HVAC; Indoor air quality; Environmental science; Thermal comfort; Airflow; Ventilation (architecture); Indoor air; Occupancy; Architectural engineering; Air quality index; Air conditioning; Air change; Environmental engineering; Room air distribution; Meteorology; Engineering; Mechanical 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001007433,0.0001481877,0.0001559562,0.00001903383,0.0001011461,0.0000639322,0.00005536092,0.0000596253,0.000004198602],"category_scores_gemma":[0.00003759742,0.0001674983,0.00001407919,0.0001219367,0.00001921123,0.0003972018,0.00001666861,0.00009153733,1.509729e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004001285,"about_ca_system_score_gemma":0.0001709078,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4096934,"about_ca_topic_score_gemma":0.5048065,"domain_scores_codex":[0.9991833,0.00001477795,0.0002761821,0.0002176001,0.0001373755,0.0001707883],"domain_scores_gemma":[0.9997344,0.00004112452,0.00005177424,0.00006182738,0.00003721128,0.00007368033],"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":[0.00002352958,0.00001630823,0.004640941,0.00007407006,0.00002859064,0.00008001109,0.002204584,0.9769731,0.003706178,0.01137111,0.0000461675,0.0008353764],"study_design_scores_gemma":[0.001528922,0.0001372347,0.001017946,0.00007616146,0.00003520373,0.00009746072,0.009531268,0.9830587,0.003714488,0.0002281634,0.0001966022,0.0003778706],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9859013,0.0001762161,0.01294252,0.00007949246,0.0001860231,0.0003707736,0.000009087468,0.0001143524,0.0002202441],"genre_scores_gemma":[0.994022,0.000009741138,0.005637498,0.0001215806,0.00009452703,0.00007475814,0.00001779421,0.00002014041,0.00000198969],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09511309,"threshold_uncertainty_score":0.6830381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008324664876895099,"score_gpt":0.2097188626021956,"score_spread":0.2013941977253005,"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."}}