{"id":"W4387745936","doi":"10.1016/j.enbuild.2023.113648","title":"RC-Network based thermal bridge calculation method for transient heat transfer analysis of multidimensional building envelope details: A frequency response analysis-based method","year":2023,"lang":"en","type":"article","venue":"Energy and Buildings","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"British Columbia Institute of Technology","funders":"","keywords":"Transient (computer programming); Building envelope; Thermal mass; Envelope (radar); Thermal; Bridge (graph theory); Structural engineering; Engineering; Finite element method; Computer science; Meteorology; Physics; Aerospace engineering","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001669455,0.0003080789,0.0006558814,0.001235449,0.0002091767,0.00002929833,0.0001354047,0.0002348679,0.00003975709],"category_scores_gemma":[0.0000455462,0.0003025327,0.0005444837,0.00428171,0.00003888168,0.0001372729,0.00001294741,0.0001088188,1.099799e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006156993,"about_ca_system_score_gemma":0.00005008007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002286702,"about_ca_topic_score_gemma":0.0001412633,"domain_scores_codex":[0.9979987,0.0002741219,0.0005510408,0.0004669374,0.0002865941,0.0004226765],"domain_scores_gemma":[0.9984066,0.001054021,0.00004103422,0.0002660716,0.0001147785,0.0001174914],"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":[0.0003720654,0.00002581594,0.0007415479,0.00003429003,0.001939855,0.000002985335,0.0001110365,0.8949096,0.09617775,0.003057546,0.00003789128,0.002589603],"study_design_scores_gemma":[0.0007140866,0.00005616175,0.01302185,0.00003453586,0.002776858,6.321383e-7,0.000006015364,0.9345496,0.04774205,0.00006759153,0.0007066587,0.0003239427],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3772348,0.0001445562,0.622165,0.00007933677,0.00006844094,0.00008086034,0.00003785852,0.0001796059,0.00000948707],"genre_scores_gemma":[0.6807846,0.00001843521,0.3186685,0.0001097374,0.00003478915,0.00006820678,0.0002610576,0.00003754667,0.00001708775],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3035498,"threshold_uncertainty_score":0.9999427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0145666994743539,"score_gpt":0.2669552839147099,"score_spread":0.2523885844403559,"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."}}