{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","bibliometrics","sts","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity","insufficient_payload"],"category_scores_codex":[0.0007768748,0.0009369294,0.000896368,0.01936159,0.002399065,0.0003424085,0.003654924,0.001589796,0.004516112],"category_scores_gemma":[0.0002792763,0.001239295,0.000542037,0.007891869,0.001947604,0.004157755,0.001629318,0.002416552,0.06617439],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003974647,"about_ca_system_score_gemma":0.003274797,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01067355,"about_ca_topic_score_gemma":0.0002734613,"domain_scores_codex":[0.9917314,0.001438568,0.000551114,0.001050013,0.003454813,0.001774113],"domain_scores_gemma":[0.9936011,0.0002372682,0.0009331139,0.002095401,0.001802004,0.00133108],"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":[0.0008523804,0.0001926874,0.0005775846,0.0002240295,0.0004430484,0.003859722,0.001108019,0.00004208905,0.0001418275,0.02430336,0.9679428,0.000312493],"study_design_scores_gemma":[0.002547859,0.0003460481,0.0001691481,0.0003398658,0.0001094426,0.000380711,0.006065969,0.00007230013,0.0002673009,0.00002390041,0.9885136,0.001163855],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001297542,0.00008824802,0.0001204923,0.0001101889,0.0005568677,0.002466776,0.0004390237,0.002245447,0.9926754],"genre_scores_gemma":[0.002799577,0.0009401746,0.0002759765,0.00008444327,0.0003232931,0.000002111011,0.0005057246,0.0005190521,0.9945496],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06165828,"threshold_uncertainty_score":0.9998849,"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."}}