{"id":"W7144153405","doi":"10.34444/00000092","title":"牛肉の国際貿易の構造変化とその影響─AGLINKモデルを利用したシナリオ分析─","year":2005,"lang":"ja","type":"article","venue":"Institutional Repositories DataBase (IRDB)","topic":"Economics of Agriculture and Food Markets","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Baseline (sea); Beef industry; Agribusiness; Agriculture; Economic impact analysis; Database transaction","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":[0.0004968162,0.0005349131,0.0003528999,0.0004804357,0.0004394578,0.001093455,0.0007511929,0.0009624614,0.005014889],"category_scores_gemma":[0.001289113,0.0003098657,0.001061768,0.0006411799,0.0003700633,0.0008450144,0.0003726755,0.001073739,0.000503995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002619552,"about_ca_system_score_gemma":0.001712367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1703885,"about_ca_topic_score_gemma":0.1385752,"domain_scores_codex":[0.9997662,0.00005647251,0.00001165612,0.00004628144,0.00004021692,0.00007918279],"domain_scores_gemma":[0.9995616,0.0001834662,0.00006772219,0.00002063475,0.0001318304,0.00003486476],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003048797,0.0002211459,0.03573408,0.0001435918,0.0000942332,0.0006733465,0.0001173702,0.9434472,0.001257783,0.006735424,0.002992758,0.008278244],"study_design_scores_gemma":[0.0001279062,0.0004877352,0.02882351,0.0000487755,0.0001327546,0.0001517669,0.0008238526,0.9551328,0.002706403,0.005140294,0.00636247,0.00006162214],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9681894,0.0003005442,0.008206186,0.0005957036,0.00006491987,0.0001797113,0.005386807,0.0001135527,0.01696321],"genre_scores_gemma":[0.9882094,0.0002887635,0.003330635,0.00005396664,0.000007792535,0.00009166186,0.002869398,0.00001145079,0.005136942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1703885,"threshold_uncertainty_score":0.3387936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01987973506118201,"score_gpt":0.2151355380092432,"score_spread":0.1952558029480612,"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."}}