{"id":"W4360604177","doi":"10.1016/j.buildenv.2023.110224","title":"Retrofitting buildings with Phase Change Materials (PCM) – The effects of PCM location and climatic condition","year":2023,"lang":"en","type":"article","venue":"Building and Environment","topic":"Phase Change Materials Research","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"TRNSYS; Phase-change material; Retrofitting; Phase change; Climate change; Climate zones; Environmental science; Energy performance; Engineering; Civil engineering; Meteorology; Structural engineering; Efficient energy use; Climatology; Geography; Thermal; Engineering physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003863717,0.0001150041,0.0001556733,0.00007987668,0.00008661924,0.00004214384,0.00005641432,0.00003970717,0.00001831435],"category_scores_gemma":[0.00003263245,0.00008434246,0.000008330589,0.0000978425,0.00007958765,0.00009522243,0.00006484509,0.00004912178,0.000007385112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003872126,"about_ca_system_score_gemma":0.000001655113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002126249,"about_ca_topic_score_gemma":4.420219e-7,"domain_scores_codex":[0.9992955,0.00004259059,0.0001475885,0.0001457732,0.0001623606,0.0002062276],"domain_scores_gemma":[0.9996425,0.0001245546,0.00004501456,0.0001380843,0.000004837777,0.00004503194],"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":[0.00001748683,0.00001423189,0.0001227858,0.001248349,0.00002628343,0.000006041123,0.0007861746,0.0001537445,0.991905,0.00008039274,0.00006667892,0.005572817],"study_design_scores_gemma":[0.001406873,0.0003182041,0.008824703,0.0006364296,0.00005777732,0.00001682913,0.0002098664,0.005776472,0.9819161,0.0001989517,0.0004296091,0.0002081368],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980518,0.000448872,0.000799749,0.000110318,0.0000869185,0.000398946,0.00001599853,0.00007710134,0.00001028305],"genre_scores_gemma":[0.9976119,0.001804354,0.0002637838,0.00001449831,0.00008088557,0.0001676888,0.00002129651,0.00002688884,0.000008704961],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009988868,"threshold_uncertainty_score":0.3439386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02178326813866298,"score_gpt":0.2611268214849079,"score_spread":0.2393435533462449,"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."}}