{"id":"W3144557692","doi":"10.2139/ssrn.3441288","title":"Non-Tariff Measures in the Food Processing Sector in Malaysia: An Assessment of Welfare Impacts","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Taxation and Compliance Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Tariff; Welfare; Business; Food processing; Economics; Natural resource economics; Agricultural economics; Public economics; International trade; Food science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003501275,0.0004866138,0.0003786702,0.001387642,0.0004554581,0.001657416,0.0005260101,0.0005585625,0.00271481],"category_scores_gemma":[0.004501725,0.0001884829,0.0008052272,0.001706023,0.0007589958,0.001117324,0.001554388,0.0006779181,0.0001711776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003988878,"about_ca_system_score_gemma":0.002220477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009991236,"about_ca_topic_score_gemma":0.01976729,"domain_scores_codex":[0.997047,0.00174335,0.0001236493,0.0001072577,0.0005401268,0.0004387592],"domain_scores_gemma":[0.9949771,0.002171444,0.00147942,0.0002002985,0.0009263469,0.0002453966],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004699106,0.00319931,0.6337873,0.001610976,0.001232793,0.001405079,0.001005467,0.07252023,0.01074547,0.05463046,0.00231405,0.2128497],"study_design_scores_gemma":[0.0001079001,0.003127811,0.9161388,0.000389428,0.000499807,0.0002812577,0.00496761,0.04792381,0.007894582,0.0123013,0.006313876,0.00005381712],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913827,0.0007206668,0.0007599762,0.0003793696,0.00001621667,0.0000496581,0.0003048372,0.000009156978,0.006377479],"genre_scores_gemma":[0.9980183,0.00028196,0.0003295177,0.00002719524,0.0000063726,0.0000131229,0.0001086266,0.000001950046,0.001212989],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009991236,"threshold_uncertainty_score":0.02894145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02501216643972906,"score_gpt":0.2654656095779774,"score_spread":0.2404534431382483,"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."}}