{"id":"W2486550837","doi":"","title":"공공건물 태양열 및 지열시스템 리트로핏을 위한 신재생에너지 선정 지원 툴 연구","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; Government (linguistics); Baseline (sea); Engineering; Environmental resource management; Architectural engineering; Business; 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":[0.001511434,0.0004669776,0.0001673914,0.001497701,0.0006921188,0.001457467,0.0003930428,0.0002598562,0.007623428],"category_scores_gemma":[0.001884986,0.000179609,0.0004239506,0.002279006,0.0003724807,0.0013692,0.0007852614,0.000354138,0.001697632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001755771,"about_ca_system_score_gemma":0.003295685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01876061,"about_ca_topic_score_gemma":0.04619981,"domain_scores_codex":[0.9990323,0.0002173772,0.0001083871,0.0001235965,0.000431918,0.00008646001],"domain_scores_gemma":[0.9981955,0.000222051,0.0002872866,0.0001422286,0.001077837,0.0000751597],"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":[0.0004521149,0.0004752873,0.1965851,0.001787747,0.0001356579,0.0003207822,0.002226037,0.01193079,0.01368692,0.04605985,0.05701507,0.6693246],"study_design_scores_gemma":[0.00007406908,0.0007298685,0.4417808,0.0005365256,0.0002331309,0.0005188507,0.01553583,0.01541873,0.04206995,0.01174683,0.471005,0.0003504234],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5800997,0.0009206413,0.1059923,0.002180647,0.0002189864,0.001932894,0.02683329,0.001521194,0.2803003],"genre_scores_gemma":[0.8765808,0.001029867,0.07764789,0.0002924603,0.00001640702,0.0009787926,0.009093625,0.0001327165,0.03422745],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01876061,"threshold_uncertainty_score":0.03730285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01242867951166989,"score_gpt":0.2382575145640163,"score_spread":0.2258288350523464,"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."}}