{"id":"W4416890006","doi":"10.1016/j.rineng.2025.108544","title":"Optimization of PCM-enhanced residential building envelopes in cold climates: Energy performance and cost-effectiveness analysis","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Phase Change Materials Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Canada First Research Excellence Fund; University of Alberta","keywords":"HVAC; Building envelope; Cooling load; Payback period; Sorting; Phase-change material; Energy (signal processing); Multi-objective optimization; Energy performance","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005088371,0.0001420385,0.0003348006,0.001235597,0.000016523,0.00003217634,0.0001196388,0.00008909328,0.000003736127],"category_scores_gemma":[0.0001595107,0.000165384,0.00002690054,0.001601597,0.00001731409,0.0001760066,0.00007185829,0.000106854,1.863625e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001989033,"about_ca_system_score_gemma":0.00001512197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001171629,"about_ca_topic_score_gemma":0.00007730036,"domain_scores_codex":[0.9989623,0.00004029745,0.0003915066,0.0002059389,0.000126635,0.000273326],"domain_scores_gemma":[0.9995237,0.0002188064,0.00002816353,0.0001621013,0.00003610592,0.00003114465],"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":[0.00006907876,0.000009661829,0.0005014619,0.0005086499,0.00005768895,0.000003182942,0.0001087113,0.820768,0.1773004,0.00007420927,0.000001548622,0.000597422],"study_design_scores_gemma":[0.0006755473,0.000007942594,0.004722418,0.0003976815,0.00001376669,1.952047e-7,0.00001226504,0.6317946,0.3622562,0.000002128483,0.00002517187,0.00009204886],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8315631,0.0003187608,0.1673496,0.000003882992,0.0001355824,0.0001954413,0.00002099577,0.00007294035,0.0003396641],"genre_scores_gemma":[0.9966718,0.001200289,0.001967405,0.000001202621,0.000016283,0.00009638968,0.00001883055,0.00001876311,0.000009025449],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1889734,"threshold_uncertainty_score":0.6744164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01351799030840502,"score_gpt":0.2746263298147187,"score_spread":0.2611083395063137,"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."}}