{"id":"W2982008754","doi":"10.3390/en12214107","title":"Building Energy Performance Analysis: An Experimental Validation of an In-House Dynamic Simulation Tool through a Real Test Room","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Emissivity; Building energy simulation; HVAC; Roof; Glazing; Environmental science; Simulation; Dynamic simulation; Computer science; Coating; Energy (signal processing); Mechanical engineering; Efficient energy use; Materials science; Structural engineering; Engineering; Energy performance; Air conditioning; Optics; Composite material","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000552005,0.0009443149,0.0006315142,0.0004899995,0.0002451499,0.0006152631,0.001198858,0.0005574641,0.004534482],"category_scores_gemma":[0.0009072471,0.0002071285,0.0004332557,0.0004080528,0.0003379346,0.0004319598,0.0004724019,0.0004108936,0.0006064738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004572545,"about_ca_system_score_gemma":0.0003769215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001488757,"about_ca_topic_score_gemma":0.001405551,"domain_scores_codex":[0.9996133,0.00009963676,0.00002273944,0.00006608912,0.0001470639,0.00005119605],"domain_scores_gemma":[0.9994521,0.0002215071,0.00004085883,0.0001445826,0.0001106211,0.00003047484],"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":[0.0006856851,0.001218216,0.005317979,0.0005861196,0.00007898508,0.0002843156,0.0003212776,0.807466,0.1373022,0.0015778,0.001348819,0.04381265],"study_design_scores_gemma":[0.0001248325,0.001165706,0.005057523,0.00002609443,0.0000606855,0.0001191732,0.0001698533,0.811588,0.1769779,0.000383505,0.004279479,0.00004729537],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8894498,0.00008610784,0.1004435,0.00006657745,0.00006707198,0.0002326096,0.001118397,0.001812365,0.006723536],"genre_scores_gemma":[0.9788264,0.0000672173,0.01858008,0.00001256432,0.000004518852,0.0001879984,0.0004248048,0.0001045708,0.00179176],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004534482,"threshold_uncertainty_score":0.01516938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006464664932446986,"score_gpt":0.2406948175714041,"score_spread":0.2342301526389571,"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."}}