{"id":"W2607013118","doi":"10.11159/icesdp17.108","title":"Evaluation of Building Energy Savings According to the Thermal Performance Experiment of PCM Floor Heating System","year":2017,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Civil, Structural, and Environmental Engineering","topic":"Energy and Environmental Systems","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Research Foundation of Korea; National Research Foundation","keywords":"Thermal; Energy performance; Energy (signal processing); Computer science; Environmental science; Automotive engineering; Thermal comfort; Architectural engineering; Energy consumption; Materials science; Engineering; Electrical engineering; Meteorology; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008392916,0.0001646209,0.0002294733,0.00005904718,0.0007094949,0.00005703175,0.0005555638,0.00004559659,0.00001709067],"category_scores_gemma":[0.00005936586,0.0001145261,0.00007103223,0.00007005778,0.0002285098,0.0002909003,0.0002617081,0.00009211073,2.582878e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002134849,"about_ca_system_score_gemma":0.000008343246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007053009,"about_ca_topic_score_gemma":0.00006260634,"domain_scores_codex":[0.9984728,0.00002153882,0.0003039349,0.0002027232,0.00077212,0.0002269176],"domain_scores_gemma":[0.999306,0.00003621983,0.0003906339,0.0001850554,0.00002034197,0.00006174641],"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":[0.00009133253,0.0000335498,0.08279933,0.0004373552,0.0002234501,2.736725e-7,0.007921158,0.12252,0.7387732,0.01915104,0.00002661986,0.0280227],"study_design_scores_gemma":[0.000837115,0.0001260381,0.1449434,0.002201527,0.0001849225,0.000005486718,0.01682454,0.0766179,0.7571716,0.00005255058,0.0005532565,0.0004816914],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965119,0.0002023686,0.00000559541,0.00008394972,0.0005336496,0.0002331744,0.00000472776,0.00001262855,0.002412026],"genre_scores_gemma":[0.9995478,0.00003518904,0.0001169415,0.000008323241,0.0001064418,0.00003595506,4.469833e-7,0.00001658197,0.0001323232],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06214405,"threshold_uncertainty_score":0.5456933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01231831918733207,"score_gpt":0.2382907929518198,"score_spread":0.2259724737644878,"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."}}