{"id":"W2462256038","doi":"","title":"공공건물 신재생에너지 의무화 사용량 예측 및 검증을 위한 국제호환형 RETScreenPlus","year":2016,"lang":"ko","type":"article","venue":"대한설비공학회 2016년도 하계학술발표대회","topic":"Energy and Environmental Systems","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Renewable energy; Environmental economics; Energy consumption; Engineering; Government (linguistics); Baseline (sea); Architectural engineering; Environmental resource management; Environmental science; Economics; Political science","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":[0.001365407,0.0007920408,0.0003312815,0.002489906,0.0004949746,0.001518125,0.0007012856,0.0002903299,0.02619254],"category_scores_gemma":[0.002758535,0.0003144401,0.0007149166,0.002149388,0.0003154083,0.001593274,0.0008938786,0.0004073929,0.007009329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008617321,"about_ca_system_score_gemma":0.001198237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009046138,"about_ca_topic_score_gemma":0.01944889,"domain_scores_codex":[0.9988893,0.0002499912,0.000115911,0.0001313874,0.0005391306,0.00007438384],"domain_scores_gemma":[0.9976956,0.0005401124,0.0002865374,0.0002975272,0.00110243,0.00007781227],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001162543,0.0006182089,0.0789685,0.003000907,0.0002328847,0.0003915546,0.001821681,0.02092859,0.02595248,0.02343813,0.1286769,0.7148076],"study_design_scores_gemma":[0.0001821652,0.001200423,0.1885521,0.0006488133,0.0003262007,0.0005680901,0.005237793,0.03283346,0.07722437,0.01196628,0.6807639,0.0004963206],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3623461,0.0007027069,0.1278109,0.0009880939,0.0002656753,0.003518598,0.124094,0.01545929,0.3648145],"genre_scores_gemma":[0.6991162,0.00103169,0.154047,0.0003276616,0.00003871526,0.002199773,0.04444027,0.001468702,0.09732994],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02619254,"threshold_uncertainty_score":0.08762282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01517140292644342,"score_gpt":0.2429211603626517,"score_spread":0.2277497574362083,"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."}}