{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004383516,0.0006066342,0.0002746219,0.0008039093,0.00727893,0.001201542,0.001809029,0.0009438521,0.001816036],"category_scores_gemma":[0.0008766919,0.0002213883,0.000439943,0.001589833,0.001446082,0.0003089743,0.0008924276,0.000623967,0.0001229739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04147931,"about_ca_system_score_gemma":0.02998505,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9721871,"about_ca_topic_score_gemma":0.9925956,"domain_scores_codex":[0.9991053,0.0001351812,0.00002961743,0.00007636355,0.000226294,0.0004271822],"domain_scores_gemma":[0.9992218,0.00009308779,0.00007317743,0.00002946755,0.0002901155,0.0002923716],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000859281,0.003115354,0.5317464,0.001535258,0.0003441107,0.1201498,0.09937909,0.04668906,0.0325144,0.01039296,0.01495298,0.1383211],"study_design_scores_gemma":[0.00009378952,0.001397124,0.5282478,0.0003466397,0.0002827192,0.005281442,0.3891178,0.02295196,0.008435867,0.0005939708,0.04302666,0.0002242307],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927194,0.0002563165,0.0007856939,0.0003352285,0.00001061192,0.0001704262,0.0001657573,0.00002489467,0.005531602],"genre_scores_gemma":[0.9954633,0.0003049748,0.0009389449,0.00006130549,0.000003562749,0.00002185093,0.00007270112,0.000005965851,0.003127385],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04147931,"threshold_uncertainty_score":0.3009549,"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."}}