{"id":"W4408499562","doi":"10.1177/17442591251324485","title":"Optimizing phase change material integration in residential building envelopes for year-round energy efficiency in cold climates","year":2025,"lang":"en","type":"article","venue":"Journal of Building Physics","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Canada First Research Excellence Fund","keywords":"Architectural engineering; Building envelope; Phase-change material; Phase change; Environmental science; Cold climate; Efficient energy use; Energy (signal processing); Civil engineering; Engineering physics; Engineering; Meteorology; Geography; Thermal; Physics; Electrical engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0002401743,0.0003567143,0.0003324708,0.000285417,0.0004051277,0.0007090924,0.0004744337,0.0003113544,0.001764869],"category_scores_gemma":[0.0003835669,0.0001829098,0.0002981884,0.0004318239,0.0002259039,0.0003831548,0.0002451702,0.0001882042,0.0002790119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001247188,"about_ca_system_score_gemma":0.0008417006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02962586,"about_ca_topic_score_gemma":0.07097499,"domain_scores_codex":[0.9998666,0.00002224292,0.000003795407,0.00001424928,0.00004285481,0.00005020357],"domain_scores_gemma":[0.9999191,0.00002537186,0.00001277823,0.000008646815,0.00002579791,0.000008461549],"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":[0.000386484,0.0002243722,0.01018348,0.00009451862,0.00002231889,0.000128411,0.0000889892,0.9259948,0.04313974,0.0008925311,0.0004043198,0.01844009],"study_design_scores_gemma":[0.00007642022,0.0007372725,0.02528174,0.00001819541,0.00007524777,0.00007501563,0.000487717,0.8923701,0.07645667,0.0006740601,0.003709681,0.00003794677],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9862867,0.00008707343,0.007757105,0.00003008078,0.000006030541,0.00003012453,0.0001697351,0.0001041042,0.005529106],"genre_scores_gemma":[0.9968598,0.00004618996,0.002185526,0.000004613051,4.441795e-7,0.00001109978,0.00007718208,0.00001500619,0.0008001326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02962586,"threshold_uncertainty_score":0.05890685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01784018988986574,"score_gpt":0.2758077540917581,"score_spread":0.2579675642018923,"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."}}