{"id":"W2610226227","doi":"","title":"국내 냉매관리제도 개선방안 연구 - 냉매 생산·사용·폐기 단계별 분석을 중심으로 -","year":2015,"lang":"ko","type":"article","venue":"한국폐기물자원순환학회지","topic":"Engineering Applied Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Refrigerant; Montreal Protocol; Ozone layer; Environmental science; Waste management; Greenhouse gas; Global warming; Clean Air Act; Environmental protection; Business; Natural resource economics; Environmental planning; Engineering; Climate change; Ozone; Air pollution; Meteorology; Chemistry; Heat exchanger; Economics; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001375626,0.0009787128,0.0009251194,0.0005901014,0.0002004704,0.0003967094,0.001375016,0.0007865518,0.0008812469],"category_scores_gemma":[0.0004370392,0.001090611,0.0003023325,0.001258812,0.0002171673,0.0003828054,0.0005684039,0.002095339,0.01092289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008774452,"about_ca_system_score_gemma":0.0003579309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003451673,"about_ca_topic_score_gemma":0.0000563423,"domain_scores_codex":[0.9941382,0.0001265289,0.00089646,0.001030453,0.001583311,0.002225075],"domain_scores_gemma":[0.9959658,0.0002918283,0.0001048611,0.001877583,0.0002883678,0.001471559],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002930041,0.0008899847,0.005106874,0.003326044,0.001673195,0.001091439,0.006824309,0.5017945,0.04467661,0.01848322,0.3899099,0.02593098],"study_design_scores_gemma":[0.006861441,0.0006843932,0.01282229,0.0008943194,0.0003292044,0.0002423695,0.001326287,0.2763699,0.0256861,0.002180263,0.6679488,0.004654656],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6670671,0.01893247,0.02495313,0.003724688,0.01583708,0.003571961,0.000491106,0.006929331,0.2584931],"genre_scores_gemma":[0.9813322,0.0005182428,0.005205827,0.0001259767,0.002290032,0.0001540072,0.00008855198,0.000520872,0.009764324],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.314265,"threshold_uncertainty_score":0.9991544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03095802183231015,"score_gpt":0.2662161601634867,"score_spread":0.2352581383311766,"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."}}