{"id":"W4409323600","doi":"10.1016/j.enbuild.2025.115714","title":"Impact of climate change on the energy demand of buildings utilizing wooden prefabricated envelopes in cold weather","year":2025,"lang":"en","type":"article","venue":"Energy and Buildings","topic":"Hygrothermal properties of building materials","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Natural Sciences and Engineering Research Council of Canada","funders":"","keywords":"Cold climate; Cold weather; Architectural engineering; Climate change; Energy demand; Environmental science; Engineering; Building envelope; Civil engineering; Energy (signal processing); Meteorology; Forensic engineering; Geology; Geography; Natural resource economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003412202,0.0002410325,0.0004065605,0.0002502664,0.0000555678,0.00003197538,0.0002653044,0.0001313187,0.00005148888],"category_scores_gemma":[0.00003953142,0.0001678213,0.00008520974,0.0003393456,0.00009891659,0.0001427204,0.000115717,0.00008417697,5.573501e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005857674,"about_ca_system_score_gemma":0.00001435957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001120405,"about_ca_topic_score_gemma":0.0000284188,"domain_scores_codex":[0.9988527,0.00006135196,0.000405823,0.0002203821,0.0001255196,0.0003342268],"domain_scores_gemma":[0.9994559,0.0001356886,0.0000991409,0.0002344512,0.00003528508,0.0000394848],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002383872,0.00008656959,0.005017464,0.0002420259,0.0002301695,0.000003661842,0.0005599319,0.006688777,0.9158401,0.05626607,0.0004044064,0.01442247],"study_design_scores_gemma":[0.0006974626,0.0002004572,0.006704926,0.001234049,0.00003933058,0.000002539904,0.00005410177,0.003761626,0.9777777,0.0005825933,0.008598045,0.0003471468],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946871,0.001355019,0.0001983686,0.00007930057,0.00009420047,0.0001324607,0.00001307033,0.00007730336,0.003363222],"genre_scores_gemma":[0.9974645,0.00201969,0.0001717999,0.0001083511,0.000034573,0.00008228366,0.000001520408,0.00003786276,0.00007938442],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06193766,"threshold_uncertainty_score":0.6843554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01537633267655739,"score_gpt":0.2294184398817378,"score_spread":0.2140421072051804,"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."}}