{"id":"W1960829761","doi":"","title":"한ㆍ미 FTA 농업부문에 관한 연구","year":2009,"lang":"ko","type":"article","venue":"통상정보연구","topic":"Agriculture, Soil, Plant Science","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"International trade; Ratification; Free trade; Liberalization; Protectionism; Trade agreement; Market access; Rules of origin; Competition (biology); Intellectual property; Negotiation; Government (linguistics); International economics; Investment (military); Free trade agreement; Business; Economics; Political science; Agriculture; Geography; Politics; Law; Market economy","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":[0.002041109,0.0003301005,0.0002032827,0.0008188008,0.004047785,0.007375098,0.0008032428,0.002667567,0.0633157],"category_scores_gemma":[0.003634531,0.0002301459,0.0005292015,0.001078407,0.001781938,0.00274769,0.00194127,0.00348967,0.03555993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005923949,"about_ca_system_score_gemma":0.01347535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0261994,"about_ca_topic_score_gemma":0.02162508,"domain_scores_codex":[0.9972765,0.0003431439,0.0001114148,0.0004613017,0.001153284,0.0006544],"domain_scores_gemma":[0.997563,0.000167333,0.0001489799,0.0002323665,0.001366787,0.0005215453],"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":[0.0000927478,0.00009107994,0.003330684,0.0002669238,0.0000189183,0.0008167203,0.002144342,0.0003500816,0.002428671,0.2757985,0.5530773,0.1615841],"study_design_scores_gemma":[0.000002355487,0.00001067436,0.001218633,0.00006385941,0.000002907967,0.0001572585,0.0003941732,0.00009600732,0.0003240723,0.003021637,0.9947004,0.000008081207],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.009779004,0.002904966,0.006409901,0.04666365,0.004307664,0.0002074315,0.0008195738,0.0005634522,0.9283444],"genre_scores_gemma":[0.1132451,0.002471669,0.005338006,0.01189409,0.0006572227,0.0001070935,0.001013727,0.0002063366,0.8650668],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0633157,"threshold_uncertainty_score":0.2118121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01643233035709591,"score_gpt":0.2120190904624049,"score_spread":0.195586760105309,"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."}}