{"id":"W2943436312","doi":"10.1016/j.enbuild.2019.04.042","title":"Development of RC model for thermal dynamic analysis of buildings through model structure simplification","year":2019,"lang":"en","type":"article","venue":"Energy and Buildings","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":106,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"University of Alberta","keywords":"Identifiability; Process (computing); Thermal; Computer science; Energy (signal processing); Resistor; RC circuit; Experimental data; Simple (philosophy); Engineering; Algorithm; Capacitor; Mathematics; Statistics; Machine learning","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00007550381,0.0001537866,0.000294076,0.0001725895,0.00005119586,0.00001012446,0.0001324661,0.0001389079,0.00001109469],"category_scores_gemma":[0.000003845696,0.0001477454,0.00008418941,0.0003317414,0.00002440778,0.0001755148,0.00002855915,0.00004788629,3.27913e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000320123,"about_ca_system_score_gemma":0.00002534657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009190852,"about_ca_topic_score_gemma":0.00002437286,"domain_scores_codex":[0.9991908,0.000004122118,0.0003225837,0.0002024836,0.0001217237,0.0001582742],"domain_scores_gemma":[0.9995944,0.0000242488,0.0001135465,0.0001748392,0.00006590609,0.00002706149],"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":[0.00001848836,0.00001022613,0.00006324241,0.00005456421,0.0002639535,1.482019e-8,0.0005756415,0.8185886,0.1546389,0.02268744,0.000008498418,0.003090408],"study_design_scores_gemma":[0.0001975049,0.000009194491,0.00006998191,0.00001864679,0.0001543179,2.244469e-7,0.00002215032,0.9319977,0.06577586,0.001412826,0.0001866706,0.0001548839],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5184294,0.0000793705,0.4813167,0.000005158844,0.00002491311,0.00003601193,0.00001463771,0.00003144606,0.00006233576],"genre_scores_gemma":[0.8393082,0.00004895913,0.1604041,0.0000223099,0.000005512203,0.00001133916,0.00008788441,0.00002200802,0.00008964168],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3209126,"threshold_uncertainty_score":0.6024881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007740708006076351,"score_gpt":0.2113968143571362,"score_spread":0.2036561063510598,"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."}}