{"id":"W1582861471","doi":"10.5109/4684","title":"Measuring the Export Subsidy Equivalents (ESEs) through Price Discrimination Generated by Exporting State Trading Enterprises","year":2005,"lang":"en","type":"article","venue":"Journal of the Faculty of Agriculture Kyushu University","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subsidy; Business; State (computer science); Industrial organization; Economics; International trade; International economics; Commerce; Computer science; 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":[0.001676642,0.0001892327,0.0002192202,0.0009484346,0.0002894571,0.0007305027,0.0003542875,0.0004736847,0.002793455],"category_scores_gemma":[0.008906113,0.00009763875,0.0002190067,0.0009662341,0.001010566,0.0010538,0.001105497,0.0006581424,0.0002429777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009809148,"about_ca_system_score_gemma":0.0005746139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001838259,"about_ca_topic_score_gemma":0.002705096,"domain_scores_codex":[0.9978371,0.0005761458,0.0001215864,0.0002414209,0.001049455,0.0001742432],"domain_scores_gemma":[0.9964339,0.001369083,0.0009224672,0.000541053,0.0006108322,0.0001227553],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003748547,0.0008225936,0.6352467,0.0002184796,0.0001704609,0.0003648831,0.0009548306,0.02596506,0.01268239,0.1511395,0.004574153,0.167486],"study_design_scores_gemma":[0.00004929514,0.0005269991,0.9035881,0.00007003761,0.00004951489,0.0004314612,0.0009233849,0.02136028,0.01123431,0.03355572,0.02815468,0.00005625581],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9345537,0.0001250428,0.01841361,0.0002424447,0.00003764353,0.00008995762,0.0007040089,0.00005424981,0.0457794],"genre_scores_gemma":[0.9948524,0.00004416424,0.003031796,0.00004206764,0.000008041287,0.00003358473,0.0003016852,0.000006046869,0.001680302],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002793455,"threshold_uncertainty_score":0.009345055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06902216343588216,"score_gpt":0.2123303596793683,"score_spread":0.1433081962434861,"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."}}