{"id":"W6901625911","doi":"10.6068/dp161788a9a7d23","title":"TREND: United States Census Bureau. US Trade by Commodity Group: Exports | Country: Brazil, China, India, Russia, South Africa | WCO Harmonized Trade Num: 51, 52, 53, 54, 55, 56, 57, 58, 59, 60 | Consumer Item: Wool &amp; Animal Hair, Including Yarn &amp; Woven Fabric, Cotton, Including Yarn And Woven Fabric Thereof, Veg Text Fib Not Specified Elsewhere; Veg Fib &amp; Paper Yns &amp; Wov Fab, Manmade Filaments, Including Yarns &amp; Woven Fabrics, Manmade Staple Fibers, Incl Yarns &amp; Woven Fabrics, Wadding, Felt Etc; Sp Yarn; Twine, Ropes Etc., Carpets And Other Textile Floor Coverings, Spec Wov Fabrics; Tufted Fab; Lace; Tapestries Etc, Impregnated Etc Text Fabrics; Tex Art For Industry, Knitted Or Crocheted Fabrics, 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":"Commodity; Liberian dollar; Census; Value (mathematics); Clothing; Yarn; CONQUEST; Documentation","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":[0.0008182945,0.001628133,0.001473974,0.004051626,0.000729405,0.002113286,0.002118913,0.001104378,0.1003084],"category_scores_gemma":[0.009542412,0.0008023576,0.00134174,0.01423277,0.0003063041,0.002385568,0.001352318,0.002320209,0.09284573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001477434,"about_ca_system_score_gemma":0.003463409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08289164,"about_ca_topic_score_gemma":0.06726047,"domain_scores_codex":[0.9990084,0.0001243442,0.0001839131,0.0002921071,0.0002276048,0.0001638016],"domain_scores_gemma":[0.9960691,0.0005710804,0.0005690537,0.0003666012,0.002212441,0.0002116717],"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":[0.00001979677,0.000008411667,0.0009052611,0.0002876749,0.00001916819,0.000006688464,0.00001148333,0.00008467118,0.00001490325,0.0003318164,0.9970484,0.001261754],"study_design_scores_gemma":[0.0002251923,0.00001457498,0.01178241,0.0005634007,0.00006089688,0.00004691976,0.0002394075,0.0002945982,0.0001219674,0.001121533,0.9854959,0.00003325694],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008062331,0.0000446439,0.00002929296,0.00007166609,0.00002934763,0.000007581783,0.9990358,0.00004934043,0.0006516911],"genre_scores_gemma":[0.0006266232,0.0001387852,0.0001748482,0.00008417518,0.00002209116,0.0001106139,0.9973598,0.00005943596,0.001423484],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1003084,"threshold_uncertainty_score":0.335565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06111330576467337,"score_gpt":0.3024256344532281,"score_spread":0.2413123286885547,"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."}}