{"id":"W7137678867","doi":"","title":"CINTRAFOR Working Paper 80","year":2016,"lang":"en","type":"other","venue":"ResearchWorks at the University of Washington (University of Washington)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Agriculture, Forestry and Fisheries; Strong; University of Washington","keywords":"Liberalization; Tariff; Deregulation; Free trade; Product (mathematics); Trade barrier; Trade diversion; Commercial policy","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002662974,0.001230943,0.001184132,0.00371751,0.003457721,0.01556039,0.002281432,0.005032538,0.4641374],"category_scores_gemma":[0.01232568,0.0005789188,0.0008841315,0.007094688,0.001125072,0.007431112,0.003345225,0.004560404,0.2028345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007855205,"about_ca_system_score_gemma":0.00989518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02685277,"about_ca_topic_score_gemma":0.01617067,"domain_scores_codex":[0.9973904,0.0003973552,0.0001595449,0.0005675527,0.0009781247,0.0005068819],"domain_scores_gemma":[0.996516,0.0007287631,0.0002422091,0.0005971054,0.001472597,0.0004433443],"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":[0.00007398987,0.0000546836,0.0005423169,0.0002515098,0.00001412335,0.0001106515,0.0002556408,0.0001665298,0.00009166325,0.08739292,0.865626,0.04541999],"study_design_scores_gemma":[0.0000117949,0.000005393016,0.000550334,0.0002228588,0.000004777711,0.00002749414,0.0001348051,0.00003989588,0.00006543513,0.003978475,0.9949523,0.00000646439],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001654078,0.008739661,0.000936878,0.02435767,0.004132884,0.0001357983,0.01709566,0.0006493774,0.942298],"genre_scores_gemma":[0.02731324,0.01209173,0.001724959,0.005121852,0.002057679,0.0004167538,0.02720295,0.001276611,0.9227943],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5358626,"threshold_uncertainty_score":0.764343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02074105951543862,"score_gpt":0.2335404281828392,"score_spread":0.2127993686674006,"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."}}