{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001106063,0.0005549181,0.0006924455,0.001882558,0.0002038288,0.00003545984,0.000535462,0.0007031823,0.0000107389],"category_scores_gemma":[0.000007065872,0.0006448465,0.0001083786,0.001670479,0.0001484078,0.0006629804,0.0000886724,0.0006528223,7.118854e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007173679,"about_ca_system_score_gemma":0.0002565215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001070249,"about_ca_topic_score_gemma":0.00104133,"domain_scores_codex":[0.998019,0.0001166339,0.0003821182,0.000638729,0.0003086056,0.0005349033],"domain_scores_gemma":[0.9987959,0.00007436561,0.0003782196,0.0004060574,0.0002361836,0.0001092491],"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":[0.005179413,0.0003881443,0.1057574,0.002342894,0.0004715916,0.001402545,0.004764208,0.8642052,0.006325529,0.006071606,0.0001287709,0.002962672],"study_design_scores_gemma":[0.02316646,0.00315344,0.07183852,0.02131069,0.001843745,0.0002499566,0.05480511,0.634059,0.1566047,0.00002660769,0.02282841,0.01011332],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9735665,0.000243693,0.001112474,0.000004861422,0.0003876743,0.0002050866,0.0000185376,0.0001847151,0.02427643],"genre_scores_gemma":[0.9889335,0.001897101,0.0001354021,0.000005814639,0.00002160592,8.240697e-7,0.0003416805,0.00006691939,0.008597142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2301462,"threshold_uncertainty_score":0.9996003,"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."}}