{"id":"W3098329005","doi":"","title":"RETScreen을 활용한 건물에서의 지열 히트펌프 시스템 적용 사전 분석연구","year":2020,"lang":"ko","type":"article","venue":"태양에너지(한국태양에너지학회 논문집)","topic":"Energy and Environmental Systems","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Energy consumption; Heat pump; Renewable energy; Environmental science; Engineering; Greenhouse gas; Civil engineering; Environmental engineering; Mechanical engineering","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":[0.0008767425,0.000482478,0.0001657955,0.0007621846,0.00065391,0.001889081,0.000437605,0.0007206588,0.0132643],"category_scores_gemma":[0.001214151,0.00025241,0.0004406128,0.001098008,0.0003657038,0.001075101,0.00104456,0.001232623,0.002748325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002302725,"about_ca_system_score_gemma":0.005359609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01996658,"about_ca_topic_score_gemma":0.03788722,"domain_scores_codex":[0.9994348,0.00008074217,0.00005059288,0.0000873999,0.0002503728,0.00009617318],"domain_scores_gemma":[0.9989327,0.000129341,0.00009571541,0.0001212643,0.0006599957,0.00006099426],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004927358,0.0003930444,0.02801403,0.001485042,0.0001482447,0.000844469,0.001140592,0.006813496,0.02072436,0.2336489,0.3720283,0.3342668],"study_design_scores_gemma":[0.0000265316,0.00009268636,0.02044115,0.0001501007,0.00006838874,0.0002420107,0.0006515376,0.00196968,0.01008885,0.004873537,0.961324,0.00007162992],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1875921,0.003649711,0.02089733,0.01324778,0.002208025,0.0005720585,0.02621058,0.001395051,0.7442273],"genre_scores_gemma":[0.5548138,0.002863051,0.01612476,0.002800679,0.0001418755,0.0003297343,0.01025016,0.0003260408,0.41235],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01996658,"threshold_uncertainty_score":0.04437351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03269550485305775,"score_gpt":0.2460141356305157,"score_spread":0.2133186307774579,"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."}}