{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004483825,0.0004524113,0.0004252207,0.00002576207,0.0006692624,0.0003554147,0.001257703,0.0003844879,0.0005736973],"category_scores_gemma":[0.0001259258,0.0001657163,0.000220758,0.001092551,0.0002275124,0.0004648889,0.0001524643,0.0004337693,0.002920939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007020796,"about_ca_system_score_gemma":0.00002638381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004425637,"about_ca_topic_score_gemma":0.0004520333,"domain_scores_codex":[0.996637,0.0001396219,0.0004653908,0.000933705,0.000771296,0.001052921],"domain_scores_gemma":[0.9987753,0.0001920581,0.0002370931,0.0002009172,0.0001369213,0.0004577222],"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":[0.000144993,0.002077938,0.1267149,0.00004091675,0.00007201616,0.0004432574,0.0009857663,0.00006508955,0.06697042,0.0161664,0.2971854,0.4891329],"study_design_scores_gemma":[0.0002422529,0.0007547542,0.9287857,0.0000798837,0.00003655022,0.0001014984,0.0003653925,0.0001500729,0.001964233,0.002411932,0.06438173,0.0007259996],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.972248,0.0006570929,0.000003563728,0.01194043,0.0008418385,0.0003561384,0.0001445652,0.0002030273,0.01360534],"genre_scores_gemma":[0.9815031,0.000347569,0.0001281395,0.002994712,0.001409739,0.000005197459,0.000141004,0.000001597294,0.0134689],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8020708,"threshold_uncertainty_score":0.9978554,"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."}}