{"id":"W2278719126","doi":"","title":"철도노선의 환경부하 평가를 위한 LCA 도입방안 연구","year":2008,"lang":"ko","type":"article","venue":"한국철도학회 학술발표대회논문집","topic":"Engineering Applied Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Kyoto Protocol; Greenhouse gas; Sustainable development; Natural resource economics; Business; Environmental impact assessment; Production (economics); Environmental protection; Consumption (sociology); Montreal Protocol; Environmental economics; Environmental science; Environmental planning; Environmental resource management; Economics; Political science; Geography; Ozone layer","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":[0.001701096,0.0009089745,0.0005643922,0.002876764,0.001107791,0.002955411,0.0008314621,0.0007149892,0.02450323],"category_scores_gemma":[0.00212984,0.0002536671,0.0009403407,0.003837708,0.0009131108,0.001543546,0.0008338963,0.001579442,0.01200693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006666553,"about_ca_system_score_gemma":0.007272928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04083601,"about_ca_topic_score_gemma":0.04210077,"domain_scores_codex":[0.9964767,0.0004506736,0.00008879876,0.0002966204,0.002445516,0.0002416129],"domain_scores_gemma":[0.9975043,0.0001286447,0.0001850545,0.0002056242,0.001897344,0.00007912429],"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":[0.0001690324,0.0003036626,0.008354136,0.002311708,0.000287243,0.0002064635,0.0001700754,0.006412841,0.01418663,0.1651095,0.2772371,0.5252516],"study_design_scores_gemma":[0.0000138043,0.00006382165,0.004643185,0.0002160027,0.00006951011,0.00007232741,0.0001311913,0.001338292,0.006367238,0.01194414,0.9751096,0.00003081825],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01085449,0.01550458,0.02261267,0.009472714,0.001464843,0.0008597574,0.01039798,0.001401995,0.927431],"genre_scores_gemma":[0.381901,0.0427459,0.08290659,0.009349652,0.001279982,0.002700566,0.02207177,0.0006716353,0.4563729],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04083601,"threshold_uncertainty_score":0.08197147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0174374831999073,"score_gpt":0.2320112733701842,"score_spread":0.2145737901702768,"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."}}