{"id":"W3182449720","doi":"","title":"국내 냉매관리제도 개선방안 연구 - 해외 냉매관리 법적규제 및 감축정책을 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; Freon; Ozone layer; Global warming; Business; Clean Air Act; Decomposition; Environmental science; Greenhouse gas; Process (computing); Waste management; Environmental protection; Natural resource economics; Environmental economics; Climate change; Engineering; Ozone; Chemistry; Economics; Air pollution; Computer science; Meteorology; Heat exchanger; 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":[0.006118482,0.0005425096,0.0003694826,0.001041002,0.002925782,0.00389028,0.001633968,0.002286854,0.1108148],"category_scores_gemma":[0.006758414,0.0005193299,0.0007234011,0.001005398,0.001351319,0.002419784,0.001980108,0.003235647,0.07840993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003960558,"about_ca_system_score_gemma":0.01439311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05605295,"about_ca_topic_score_gemma":0.06390192,"domain_scores_codex":[0.9937143,0.001250277,0.0005051162,0.000763595,0.002766018,0.001000689],"domain_scores_gemma":[0.990794,0.0007295209,0.0003723746,0.001119324,0.006446324,0.0005384395],"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":[0.0002909089,0.0003187341,0.004308181,0.0008191591,0.00003637165,0.0004495116,0.002320951,0.0005656185,0.01147037,0.2636791,0.6011177,0.1146234],"study_design_scores_gemma":[0.00001501716,0.00006045471,0.002230087,0.00009327215,0.000008606818,0.00008069485,0.0003093211,0.0001441915,0.002649987,0.001615124,0.9927636,0.00002958042],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.009811855,0.001046561,0.01950772,0.005182559,0.002599961,0.00481313,0.00984304,0.001428295,0.9457668],"genre_scores_gemma":[0.07886592,0.001198377,0.02613237,0.007151241,0.0004016481,0.00325593,0.01077732,0.0007461429,0.871471],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1108148,"threshold_uncertainty_score":0.3707125,"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."}}