{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001577683,0.0007182447,0.0008069045,0.0001529726,0.001202538,0.0001975742,0.001322421,0.0009305916,0.01547945],"category_scores_gemma":[0.0002383551,0.0005239493,0.0004872948,0.0004992704,0.001466253,0.0009160508,0.0004405765,0.0003889291,0.02038596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007038758,"about_ca_system_score_gemma":0.0002147163,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00711022,"about_ca_topic_score_gemma":0.002405185,"domain_scores_codex":[0.9937855,0.0008162411,0.0009601486,0.001243829,0.001439812,0.001754439],"domain_scores_gemma":[0.996875,0.0004706124,0.0005236984,0.001195473,0.00006965799,0.0008655053],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006992133,0.001292195,0.1154092,0.0003142812,0.001091928,0.0004450729,0.02672975,0.0000527723,0.03262061,0.1157685,0.4111243,0.2944522],"study_design_scores_gemma":[0.001796794,0.0003563583,0.01878669,0.0006409053,0.0001230204,0.00001907153,0.003081764,0.00002701933,0.001756385,0.003065289,0.9690154,0.001331276],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4609606,0.005073995,0.00104656,0.01753169,0.008805117,0.001396582,0.0003698455,0.0006128803,0.5042027],"genre_scores_gemma":[0.7763073,0.002551273,0.0001007899,0.0005369658,0.002672606,0.00005691969,0.00001417949,0.00008919837,0.2176708],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5578911,"threshold_uncertainty_score":0.9997212,"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."}}