{"id":"W2461668004","doi":"","title":"주거용 건물의 창호에너지평가시스템에 관한 연구","year":2016,"lang":"ko","type":"article","venue":"한국생태환경건축학회 논문집","topic":"Energy and Environmental Systems","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Rating system; Solar gain; Energy consumption; Window (computing); Thermal; Thermal comfort; Efficient energy use; Energy balance; Environmental science; Simulation; Engineering; Computer science; Meteorology; Environmental economics; Economics; Electrical engineering; Geography","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":[0.0002366578,0.000185054,0.0001335514,0.0001264209,0.0002866274,0.000416877,0.0002534208,0.0001372862,0.004762797],"category_scores_gemma":[0.0006233761,0.0000593011,0.0001964271,0.0002099071,0.0002511228,0.0003868632,0.0002204413,0.0001522406,0.0009554205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003898207,"about_ca_system_score_gemma":0.0005291167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005678735,"about_ca_topic_score_gemma":0.005279438,"domain_scores_codex":[0.9998566,0.00002679778,0.000007847225,0.00003088691,0.00005927728,0.00001859277],"domain_scores_gemma":[0.9997479,0.00005305368,0.00005183478,0.00002404778,0.0001021894,0.00002101393],"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":[0.001472271,0.0006416993,0.2873645,0.001581587,0.0001564131,0.000890546,0.001766523,0.158529,0.11184,0.02026366,0.01886627,0.3966275],"study_design_scores_gemma":[0.0001502276,0.001870678,0.3885448,0.0003318184,0.0002913352,0.0008942414,0.002954711,0.3683245,0.1336734,0.01042037,0.09238805,0.000155904],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9435821,0.0005325672,0.02500715,0.0002866222,0.00008410202,0.0001418819,0.0004295013,0.0002040403,0.029732],"genre_scores_gemma":[0.9919667,0.000198237,0.003790626,0.00002210889,0.000009138994,0.00002889379,0.0001777183,0.00001351763,0.003793199],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005678735,"threshold_uncertainty_score":0.01593316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01293997040212483,"score_gpt":0.2380046948038098,"score_spread":0.225064724401685,"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."}}