{"id":"W3088347963","doi":"10.1002/wfp2.12018","title":"Global and regional trading blocs of coffee and tea: Outlook, trading signals, and policies","year":2020,"lang":"en","type":"article","venue":"World Food Policy","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Economics; International trade; Agricultural economics; Production (economics); International economics","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":[0.0005325396,0.0002774497,0.0001919147,0.001721489,0.0005238593,0.003097037,0.0003681663,0.0004587126,0.004813463],"category_scores_gemma":[0.001119689,0.0001255018,0.0004057401,0.004303675,0.0005281891,0.001494571,0.0008948846,0.00055252,0.0009631861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00176753,"about_ca_system_score_gemma":0.001116653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0254528,"about_ca_topic_score_gemma":0.01979531,"domain_scores_codex":[0.9997144,0.00005454055,0.00001624609,0.00005705883,0.00005732101,0.0001004404],"domain_scores_gemma":[0.998903,0.00008197934,0.0004225764,0.00004609443,0.0003319774,0.0002142524],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002237103,0.00016216,0.4765137,0.002426839,0.0006553548,0.003514421,0.005400066,0.009624448,0.01465543,0.1398674,0.09960791,0.2453352],"study_design_scores_gemma":[0.0000361851,0.0001613905,0.6728764,0.0007392457,0.0002208137,0.0009876121,0.00913243,0.007567849,0.002912535,0.008224651,0.2969983,0.0001426961],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7983662,0.04844104,0.001736214,0.01856146,0.0005234677,0.00003567223,0.01022925,0.0003211363,0.1217855],"genre_scores_gemma":[0.9802082,0.01046202,0.0006763126,0.0006520804,0.0001648298,0.00001186961,0.001861282,0.00005897629,0.005904368],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0254528,"threshold_uncertainty_score":0.05060929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1032179887026204,"score_gpt":0.2418945423609205,"score_spread":0.1386765536583001,"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."}}