{"id":"W2912963898","doi":"","title":"Thermal performance and energy efficiency of PCM integrated buildings in eight cities located in snow, fully humid with warm summer climate region","year":2019,"lang":"en","type":"dissertation","venue":"Nazarbayev University Repository (Nazarbayev University)","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Snow; Environmental science; Climatology; Climate zones; Geography; Climate change; Meteorology; Energy performance; Efficient energy use; Thermal; Atmospheric sciences; Thermal comfort; Physical geography; Engineering; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001237055,0.0002621198,0.0002078351,0.0001986587,0.0001960319,0.0002318999,0.0001913127,0.0001500513,0.001375861],"category_scores_gemma":[0.0001510726,0.0001208727,0.0002977875,0.0003080255,0.0001409251,0.0001217502,0.0001876356,0.0001016654,0.0002464421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002853546,"about_ca_system_score_gemma":0.0001097397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005450802,"about_ca_topic_score_gemma":0.01381822,"domain_scores_codex":[0.9999146,0.00001316924,0.000005912215,0.00002167471,0.00002774523,0.00001679816],"domain_scores_gemma":[0.999947,0.00001474421,0.000007681872,0.000008375717,0.00001651859,0.000005710779],"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":[0.002274209,0.0006405886,0.2984248,0.0003460271,0.0001526802,0.0004002574,0.0008001594,0.3532817,0.2649982,0.0006760939,0.001068734,0.07693648],"study_design_scores_gemma":[0.00003900045,0.00153733,0.6525445,0.00001602594,0.0001160919,0.0001871459,0.0009369462,0.2077614,0.1351024,0.0002171838,0.001495091,0.0000468906],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990166,0.0000117322,0.0003634289,0.000001888319,9.501395e-7,0.000002386979,0.0000933339,0.00001217584,0.0004974984],"genre_scores_gemma":[0.9988951,0.00001211021,0.0004305375,8.936325e-7,3.163222e-7,0.000003909094,0.0001561643,0.000004316413,0.0004967109],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005450802,"threshold_uncertainty_score":0.01083815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003535115282570879,"score_gpt":0.144111219791031,"score_spread":0.1405761045084601,"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."}}