{"id":"W2806720832","doi":"","title":"AN INTERACTIVE WORKBENCH FOR MONITORING , IDENTIFICATION AND CALIBRATION OF BUILDING ENERGY MODELS","year":2012,"lang":"en","type":"article","venue":"Proceedings of SimBuild","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Workbench; MATLAB; Computer science; Calibration; Identification (biology); Building energy simulation; Control engineering; Set (abstract data type); Systems engineering; Simulation; Software engineering; Efficient energy use; Engineering; Data mining; Operating system; Energy performance; Programming language; Visualization","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001189874,0.001640067,0.0007965576,0.001353848,0.0003158576,0.001239673,0.002126875,0.0007731867,0.02736135],"category_scores_gemma":[0.004178399,0.000506761,0.000630655,0.0005906947,0.0003370134,0.00113531,0.001673755,0.0007739103,0.007440639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000256691,"about_ca_system_score_gemma":0.0004101176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006101706,"about_ca_topic_score_gemma":0.0004674735,"domain_scores_codex":[0.9992219,0.0002263619,0.00005819222,0.0001331157,0.0003008971,0.00005949636],"domain_scores_gemma":[0.9976689,0.001384085,0.00008746141,0.000494074,0.0002738365,0.00009165239],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001331482,0.0005973548,0.004657915,0.001242384,0.0001734889,0.001800869,0.001569059,0.1364425,0.1278289,0.02628357,0.05264486,0.6454276],"study_design_scores_gemma":[0.0002755013,0.0004553993,0.003092399,0.0002919835,0.00007005769,0.001395096,0.0003101703,0.6357127,0.1498295,0.01238525,0.1960119,0.0001699734],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008517645,0.0001021817,0.9486752,0.00006691116,0.00005680811,0.0001745173,0.00120697,0.03469292,0.006506753],"genre_scores_gemma":[0.2021593,0.0004631999,0.7590057,0.0002211721,0.00009842608,0.002226393,0.008017223,0.008851732,0.01895692],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02736135,"threshold_uncertainty_score":0.09153277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0126241325597579,"score_gpt":0.2363813248638119,"score_spread":0.223757192304054,"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."}}