{"id":"W4236041036","doi":"10.32920/ryerson.14649075.v1","title":"Evaluation of in-situ cooling performance at renovation 2050: comparing zone vs. central based cooling systems for single family dwellings","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Building envelope; Relative humidity; Environmental science; Occupancy; Air conditioning; Envelope (radar); Water cooling; Passive cooling; Energy performance; Cooling load; Building energy simulation; Cooling capacity; Energy budget; Meteorology; Central air conditioning; Free cooling; Efficient energy use; Computer science; Architectural engineering; Engineering; Mechanical engineering; Geography; Telecommunications; Physics; Electrical engineering; Thermal","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0007862876,0.0005859511,0.0005771767,0.0003376466,0.0003184461,0.0005099324,0.0004682385,0.0002396757,0.001124854],"category_scores_gemma":[0.0006708848,0.000198671,0.0004584883,0.0004218658,0.0002565137,0.0003503995,0.0002428482,0.0002135365,0.0001405257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001480225,"about_ca_system_score_gemma":0.0006281566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03576853,"about_ca_topic_score_gemma":0.08569376,"domain_scores_codex":[0.9997144,0.00008613687,0.00001408935,0.00005490985,0.00008708668,0.00004330078],"domain_scores_gemma":[0.9996038,0.0001248072,0.00005421726,0.00005305413,0.0001245463,0.00003955042],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.01965826,0.002523002,0.2231151,0.00146481,0.0008117277,0.0002650614,0.001055101,0.247727,0.4031508,0.0005741245,0.001083657,0.09857137],"study_design_scores_gemma":[0.0003708631,0.01384341,0.721854,0.00003342582,0.0003525355,0.0001230003,0.0006975242,0.06416484,0.1961192,0.00009590848,0.00227013,0.0000750897],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989808,0.0000434309,0.0004292841,0.000003739408,0.000002102099,0.00001675353,0.0001626172,0.00001821074,0.0003429367],"genre_scores_gemma":[0.9988233,0.00003484967,0.0006462645,0.000002280799,0.000001127289,0.00001103294,0.0001915935,0.000004886599,0.000284554],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03576853,"threshold_uncertainty_score":0.07112068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0471942877444825,"score_gpt":0.2375930324471195,"score_spread":0.190398744702637,"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."}}