{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001320531,0.00095727,0.0008913866,0.0005891856,0.0001836698,0.0003655854,0.001331607,0.000759034,0.0008733913],"category_scores_gemma":[0.0004312659,0.001059737,0.0002890569,0.001251391,0.0002102727,0.0003867385,0.0005397939,0.002008158,0.01089737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008665408,"about_ca_system_score_gemma":0.0003672912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002889642,"about_ca_topic_score_gemma":0.00005090964,"domain_scores_codex":[0.9943138,0.0001233671,0.0008688187,0.0009935229,0.001546472,0.002154013],"domain_scores_gemma":[0.9960493,0.0002725592,0.00009968464,0.001827506,0.000282574,0.001468354],"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":[0.0003087174,0.000951926,0.004898616,0.003460632,0.001786118,0.001176009,0.007718389,0.4468127,0.06595227,0.02303122,0.4111147,0.0327887],"study_design_scores_gemma":[0.007571577,0.000771686,0.02032404,0.0009302342,0.000358845,0.0002783914,0.001572706,0.2424611,0.0385566,0.002675121,0.6792634,0.0052364],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6977877,0.01919462,0.01990343,0.003122914,0.01480068,0.003041865,0.0004295965,0.006154216,0.235565],"genre_scores_gemma":[0.9834736,0.0005070164,0.004157899,0.0001181997,0.002097277,0.0001432695,0.00008169966,0.0004902481,0.00893078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2856859,"threshold_uncertainty_score":0.9991853,"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."}}