{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002573036,0.0001846741,0.00008602435,0.000578119,0.0003652885,0.001091431,0.0001546776,0.0002032496,0.002101272],"category_scores_gemma":[0.0003136413,0.00007082915,0.000188676,0.0007958653,0.0004884101,0.0007318436,0.0003020773,0.0001661321,0.0003802151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001010782,"about_ca_system_score_gemma":0.0009663735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00355875,"about_ca_topic_score_gemma":0.00707808,"domain_scores_codex":[0.9997576,0.0000468462,0.00001937467,0.0000594087,0.00007061662,0.00004602637],"domain_scores_gemma":[0.9996251,0.00005895363,0.0001825596,0.00002287491,0.00009678151,0.00001371476],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005224688,0.0003450599,0.1715066,0.002929709,0.00009431676,0.001462639,0.003493277,0.008129171,0.1298769,0.1048152,0.00517949,0.5716451],"study_design_scores_gemma":[0.00002668322,0.001070393,0.2883023,0.0008450454,0.0001770128,0.002402348,0.01331478,0.00936296,0.2272992,0.007753239,0.4493277,0.0001183615],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9048756,0.01072937,0.006320098,0.0007901057,0.00006023735,0.0001127784,0.0005393816,0.00004422848,0.07652826],"genre_scores_gemma":[0.9839064,0.005431185,0.003000358,0.00009379102,0.00001167666,0.00002711159,0.0002234429,0.000004623425,0.007301258],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00355875,"threshold_uncertainty_score":0.007333696,"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."}}