{"id":"W6901594975","doi":"10.6068/dp16212978e639","title":"TREND: United States Census Bureau. US Trade by Commodity Group: Exports | Country: Argentina, Bolivia, Brazil, Chile, Colombia, Costa Rica, Dominican Republic, Ecuador, El Salvador, Guatemala, Guyana, Honduras, Mexico, Netherlands Antilles, Nicaragua, Panama, Paraguay, Peru, Suriname, Uruguay, Venezuela | WCO Harmonized Trade Num: 40, 41, 42, 43, 44, 45, 46, 47, 48, 49 | Consumer Item: Rubber And Articles Thereof, Raw Hides And Skins (no Furskins) And Leather, Leather Art; Saddlery Etc; Handbags Etc; Gut Art, Furskins And Artificial Fur; Manufactures Thereof, Wood And Articles Of Wood; Wood Charcoal, Cork And Articles Of Cork, Mfr Of Straw, Esparto Etc.; Basketware & Wickerwrk, Wood Pulp Etc; Recovd (waste & Scrap) ppr & pprbd, Paper & Paperboard & Articles (inc Papr Pulp Artl), Printed Books, Newspapers Etc; Manuscripts Etc, 01/2002 - 10/2017. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 001-035-001","year":2018,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Liberian dollar; Commodity; CONQUEST; Exportation; Value (mathematics); Paperboard","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":[0.0006289275,0.001521962,0.001347664,0.003765135,0.0006191195,0.001820285,0.001766101,0.0008025229,0.06023769],"category_scores_gemma":[0.005744783,0.0007035704,0.001011405,0.0130688,0.000245435,0.001901246,0.001175381,0.001855851,0.05625995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001570793,"about_ca_system_score_gemma":0.003188504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1154587,"about_ca_topic_score_gemma":0.08915605,"domain_scores_codex":[0.9992421,0.00008618251,0.0001129132,0.00022904,0.0001982904,0.0001314208],"domain_scores_gemma":[0.9971186,0.0003428198,0.0004484981,0.0002425778,0.001678245,0.0001692667],"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":[0.00001797781,0.000008868361,0.001296188,0.0002456135,0.00002017467,0.000007376719,0.00001255527,0.00008696704,0.00001493189,0.0003414635,0.9965575,0.00139035],"study_design_scores_gemma":[0.0001761323,0.00001186746,0.01667577,0.0004017107,0.00005214923,0.00003630534,0.0002136704,0.0003067882,0.0001187594,0.00076511,0.9812117,0.00003005218],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001068549,0.00004650548,0.00002753058,0.00006813058,0.00002638523,0.000007247551,0.9989654,0.00005032069,0.0007016941],"genre_scores_gemma":[0.0006423906,0.0001255661,0.0001598555,0.00005893813,0.00001817708,0.0001006146,0.9976292,0.00004988899,0.001215401],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1154587,"threshold_uncertainty_score":0.2295733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03864103587560824,"score_gpt":0.2725466858840193,"score_spread":0.233905650008411,"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."}}