{"id":"W3158875716","doi":"10.1002/est2.246","title":"Energy analysis and simulation of <scp>PCM</scp>‐enhanced building envelopes in commercial buildings: A case study","year":2021,"lang":"en","type":"article","venue":"Energy Storage","topic":"Phase Change Materials Research","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Cold winter; Energy consumption; Environmental science; Thermal energy storage; Building energy simulation; Phase-change material; Thermal; Simulation software; Civil engineering; Software; Computer science; Engineering; Energy performance; Meteorology; Geography; Ecology","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":[],"consensus_categories":[],"category_scores_codex":[0.0002695288,0.0001889909,0.0004528608,0.0006323836,0.00005969789,0.00005936679,0.0001105096,0.00008909432,0.00003600416],"category_scores_gemma":[0.0001332273,0.0002147807,0.00006033983,0.001373771,0.00003165793,0.0001570385,0.0001402326,0.00009486316,3.546151e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001112118,"about_ca_system_score_gemma":0.00002515757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001954303,"about_ca_topic_score_gemma":0.007313571,"domain_scores_codex":[0.9986122,0.000181316,0.0003604876,0.0003002317,0.0002471274,0.0002986714],"domain_scores_gemma":[0.9991576,0.0003361912,0.00005642874,0.0002695732,0.00008819964,0.0000919851],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000008788244,0.0001700987,0.0009084386,0.00004680011,0.0004145207,0.002220166,0.003139269,0.7379242,0.245057,0.00008532793,0.00002090942,0.01000442],"study_design_scores_gemma":[0.001526162,0.00009806534,0.003587711,0.00004998222,0.0002023817,0.00005559369,0.002966733,0.3726033,0.6172329,0.00006924543,0.001356791,0.0002511484],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9393007,0.0004882963,0.05976528,0.000004312507,0.0001136305,0.00005336463,0.00001823506,0.00006271857,0.0001934158],"genre_scores_gemma":[0.9992346,0.00008065036,0.0004240166,0.00001393817,0.0000897168,0.00003541428,0.00002141947,0.00003620285,0.0000640169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3721758,"threshold_uncertainty_score":0.8758504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0230595621252221,"score_gpt":0.2924844530352738,"score_spread":0.2694248909100517,"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."}}