{"id":"W4401581367","doi":"10.3390/buildings14082505","title":"Thermal Performance Optimization of Building Envelopes in a Low-Cost and Energy-Saving Rural Dwelling in Severe Cold Region—Taking Central Area of Liaoning as an Example","year":2024,"lang":"en","type":"article","venue":"Buildings","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Tri Y Environmental Research Institute (Canada)","funders":"","keywords":"Thermal; Architectural engineering; Building envelope; Energy performance; Energy (signal processing); Environmental science; Efficient energy use; Computer science; Civil engineering; Reliability engineering; Engineering; Geography; Meteorology; Electrical engineering; Mathematics; Statistics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001885602,0.0001959931,0.0002512221,0.0003953274,0.00004983608,0.00006317454,0.0001338024,0.0001337001,0.0000121237],"category_scores_gemma":[0.00001797345,0.0002170652,0.00003630905,0.0005920645,0.00003640008,0.0007185799,0.0000479711,0.0001892961,5.641e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001046059,"about_ca_system_score_gemma":0.00003597905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006755449,"about_ca_topic_score_gemma":0.00004655762,"domain_scores_codex":[0.9988157,0.00002211672,0.0004336621,0.0002412641,0.0001483699,0.0003388711],"domain_scores_gemma":[0.9996172,0.0000706938,0.0000931461,0.0001357684,0.00002892354,0.00005429595],"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":[0.00002246308,0.00001575923,0.006570564,0.0002347924,0.00001417967,0.00001003804,0.001619122,0.9691398,0.006061138,0.003091377,0.000002632919,0.01321815],"study_design_scores_gemma":[0.0002507018,0.00002661491,0.001251891,0.002161574,0.00001066067,0.0000209885,0.0002258265,0.9758571,0.01983367,0.00004026313,0.00008341278,0.0002372887],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9524099,0.0007059682,0.04624879,0.000008999617,0.0001450813,0.0000808172,0.000001379875,0.0001234133,0.0002756535],"genre_scores_gemma":[0.9874599,0.0004928958,0.01190029,0.00001420786,0.00003761245,0.00001862525,0.00001065687,0.0000505995,0.00001521604],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03505,"threshold_uncertainty_score":0.885166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01250745145245207,"score_gpt":0.2004376336808074,"score_spread":0.1879301822283554,"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."}}