{"id":"W6976956545","doi":"10.6068/dp152fc10c17024","title":"TREND: United States Census Bureau. US Trade by Commodity Group: Exports | Country: Colombia | World Customs Organization Harmonized System Trade Number: 00 | Consumer Item: All Trade, 2002 - 2015. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 001-035-001United States Census Bureau. US Trade by Commodity Group: Imports | Country: Colombia, 2002 - 2015. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 001-035-003","year":2016,"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; Population; Value (mathematics); Documentation; World trade","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":[0.0009705867,0.001950262,0.001600677,0.006315654,0.00106473,0.002958413,0.002560788,0.0008603164,0.1224793],"category_scores_gemma":[0.01137724,0.0009163045,0.001063783,0.02347795,0.000348882,0.003613459,0.001635073,0.002505576,0.1362001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00312813,"about_ca_system_score_gemma":0.005910567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1978319,"about_ca_topic_score_gemma":0.1595697,"domain_scores_codex":[0.9982645,0.0001874477,0.0002694733,0.0004529603,0.0005926307,0.0002330936],"domain_scores_gemma":[0.9900364,0.0007284668,0.0009491145,0.0008877619,0.007023442,0.0003747981],"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":[0.00001162625,0.00000544637,0.0006707287,0.0001832008,0.00001001357,0.000004170098,0.00001271378,0.00004649794,0.00001073448,0.0003084418,0.9971226,0.001613774],"study_design_scores_gemma":[0.00004057055,0.000006314112,0.007565116,0.0003668844,0.0000222187,0.00001678074,0.0001871948,0.0001126517,0.00007179573,0.0004956559,0.9910932,0.00002169848],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005004408,0.00004192096,0.00004107142,0.00005954256,0.00004349539,0.00001608883,0.9983485,0.00007487395,0.001324469],"genre_scores_gemma":[0.0004049053,0.0001482042,0.0002243184,0.00006717901,0.00002561822,0.0001549741,0.9969481,0.0001003871,0.001926432],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1978319,"threshold_uncertainty_score":0.409734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02173715853048874,"score_gpt":0.2793658399441457,"score_spread":0.2576286814136569,"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."}}