{"id":"W1548678633","doi":"","title":"충북 농축산물의 해외 유통 사례 분석","year":2010,"lang":"ko","type":"article","venue":"연구보고서","topic":"Nutrition, Health and Food Behavior","field":"Nursing","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Livestock; China; Business; Agricultural economics; Agriculture; Product (mathematics); Competition (biology); International trade; Agricultural science; Geography; Economics; Forestry","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":[0.0001135666,0.0002945106,0.0001085462,0.00169649,0.0003051702,0.0006457708,0.0002393044,0.0001372568,0.02775484],"category_scores_gemma":[0.0004329052,0.0001399157,0.0002119921,0.003290889,0.00008366109,0.0004205838,0.0003328898,0.0003770817,0.01049133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007872919,"about_ca_system_score_gemma":0.0008889786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02640512,"about_ca_topic_score_gemma":0.03122005,"domain_scores_codex":[0.999876,0.000006649956,0.00001571686,0.00002449079,0.00004207505,0.00003501122],"domain_scores_gemma":[0.9996585,0.00002233713,0.00008921228,0.00001409366,0.0001766242,0.00003922446],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0005289183,0.00018688,0.4124671,0.001019103,0.00009187865,0.0006910294,0.0007358253,0.0007263886,0.0048735,0.002585999,0.4271121,0.1489812],"study_design_scores_gemma":[0.0000102683,0.00007022553,0.7993147,0.0002525884,0.00003433274,0.0004989783,0.001547748,0.0005764328,0.00125821,0.0001358565,0.1962791,0.00002150915],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6248895,0.002485585,0.0004714542,0.001189046,0.0004122182,0.0001472437,0.2514395,0.0003363161,0.118629],"genre_scores_gemma":[0.5893887,0.003698363,0.001071946,0.0004459437,0.00008484145,0.0001845966,0.2267136,0.00007161277,0.1783404],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02775484,"threshold_uncertainty_score":0.0928492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01959162087857895,"score_gpt":0.3186676637933193,"score_spread":0.2990760429147403,"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."}}