{"id":"W7007317552","doi":"","title":"農産物貿易における国家貿易企業の一元的活動の市場歪曲性について","year":2008,"lang":"en","type":"other","venue":"Kyoto University Research Information Repository (Kyoto University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Liberalization; China; Revenue; Corporation; Agriculture; Free trade; State (computer science); Diversification (marketing strategy)","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":[0.002906315,0.0003917709,0.0003899353,0.001191961,0.001905199,0.003575823,0.0004858741,0.001125252,0.02120968],"category_scores_gemma":[0.003316985,0.0005023317,0.0005606415,0.0008302677,0.005266922,0.002634093,0.001347217,0.002101776,0.006519719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001812929,"about_ca_system_score_gemma":0.001969208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005005278,"about_ca_topic_score_gemma":0.00800786,"domain_scores_codex":[0.9972841,0.0004969438,0.0001833869,0.0004613182,0.001329742,0.0002444848],"domain_scores_gemma":[0.9962017,0.001314837,0.0007977805,0.0004109596,0.0010524,0.0002223022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008202069,0.0004533407,0.02530037,0.001462764,0.0002269302,0.005422547,0.005567936,0.004497272,0.09893415,0.2921627,0.0302505,0.5349013],"study_design_scores_gemma":[0.0001182369,0.001585482,0.07687351,0.0008647364,0.0003323659,0.01173017,0.008034199,0.007046485,0.1644288,0.1492992,0.5793424,0.000344291],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2305787,0.02407848,0.05757479,0.01149288,0.001310286,0.0003032346,0.0009448702,0.0004002785,0.6733164],"genre_scores_gemma":[0.8330086,0.01457193,0.02923646,0.002654246,0.000829094,0.0002007157,0.0005611201,0.0001629254,0.1187749],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02120968,"threshold_uncertainty_score":0.07095349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0323822240524967,"score_gpt":0.2490883772197664,"score_spread":0.2167061531672697,"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."}}