{"id":"W4242778151","doi":"10.5383/ijtee.14.01.003","title":"Performance Study of a Multi-Objective Mathematical Programming Modeling Approach for Energy Optimization in Building Envelopes","year":2017,"lang":"en","type":"article","venue":"International Journal of Thermal and Environmental Engineering","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Jordan University of Science and Technology","keywords":"Building envelope; Glazing; HVAC; Architectural engineering; Envelope (radar); Daylighting; Daylight; Computer science; Building design; Cooling load; Software; Efficient energy use; Energy consumption; Solar gain; Shading; Thermal comfort; Simulation; Solar energy; Engineering; Thermal; Air conditioning; Mechanical engineering; Civil engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002029729,0.001256463,0.001226025,0.0006120565,0.0006297847,0.001852424,0.0009950697,0.001611602,0.003976862],"category_scores_gemma":[0.002805257,0.0006095358,0.001458067,0.0006963972,0.0003921642,0.0009042537,0.000981092,0.00166504,0.0004548799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008874036,"about_ca_system_score_gemma":0.001790924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01163123,"about_ca_topic_score_gemma":0.006637915,"domain_scores_codex":[0.9993788,0.0003329058,0.00002305537,0.00006496745,0.0001197732,0.00008039604],"domain_scores_gemma":[0.9981543,0.001388541,0.0001171988,0.0000434367,0.0002473923,0.00004907536],"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":[0.00003224621,0.00004862685,0.0002890349,0.00005653135,0.00001944088,0.00002288848,0.00001847925,0.9921677,0.0003704271,0.001766166,0.0001448705,0.005063674],"study_design_scores_gemma":[0.000002427892,0.00002478968,0.00003531054,0.000003926317,0.000003725784,0.000002370392,0.000004905907,0.9996076,0.0000980853,0.0001220629,0.00009327483,0.000001528183],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1350913,0.00113884,0.8366295,0.0008494596,0.000131783,0.0002242554,0.0001984422,0.0005647736,0.02517164],"genre_scores_gemma":[0.8429424,0.0007492377,0.1492023,0.0001558773,0.00004591357,0.0004179299,0.0002182083,0.0001303736,0.006137722],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01163123,"threshold_uncertainty_score":0.02312702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.011576596270428,"score_gpt":0.2095614283086635,"score_spread":0.1979848320382355,"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."}}