{"id":"W6939218937","doi":"10.6068/dp161788be4f624","title":"TREND: United States Census Bureau. US Trade by Commodity Group: Exports | Country: Brazil, China, India, Russia, South Africa | WCO Harmonized Trade Num: 61, 62, 63, 64, 65, 66, 67, 68, 69, 70 | Consumer Item: Apparel Articles And Accessories, Knit Or Crochet, Apparel Articles And Accessories, Not Knit Etc., Textile Art Not Specified Elsewhere; Needlecraft Sets; Worn Text Art, Footwear, Gaiters Etc. And Parts Thereof, Headgear And Parts Thereof, Umbrellas, Walking-sticks, Riding-crops Etc, Parts, Prep Feathers, Down Etc; Artif Flowers; H Hair Art, Art Of Stone, Plaster, Cement, Asbestos, Mica Etc., Ceramic Products, Glass And Glassware, 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":"Liberian dollar; Commodity; Census; Clothing; Value (mathematics); CONQUEST; Documentation; Statistical evidence","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":[0.0009268881,0.00207545,0.001635506,0.004263059,0.0008335154,0.002263981,0.002903046,0.001319914,0.07528847],"category_scores_gemma":[0.008592864,0.0007129425,0.001508171,0.01319934,0.0003625781,0.0029379,0.001283939,0.002441542,0.09678397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001552711,"about_ca_system_score_gemma":0.003230267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0763926,"about_ca_topic_score_gemma":0.07021058,"domain_scores_codex":[0.9989366,0.0001465352,0.000179929,0.0003448456,0.0002384531,0.0001536859],"domain_scores_gemma":[0.9963988,0.0005442171,0.0004390614,0.0003638954,0.002055418,0.0001987101],"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":[0.00001895388,0.000009049476,0.0007171499,0.0002533214,0.00001712758,0.000006714515,0.000009186358,0.00009673149,0.0000162643,0.0002421513,0.9973987,0.001214585],"study_design_scores_gemma":[0.0001758191,0.00001369571,0.007560409,0.0004938272,0.00005362452,0.00004528938,0.0002206202,0.0004386269,0.0001403701,0.001258977,0.9895622,0.00003659746],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007771657,0.00006242713,0.00004376972,0.00008657079,0.0000420112,0.000007305961,0.9990301,0.0000817482,0.0005682839],"genre_scores_gemma":[0.0004769078,0.0001190506,0.0001897998,0.00006921285,0.00002216448,0.00007925914,0.9980996,0.00005502737,0.0008889285],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0763926,"threshold_uncertainty_score":0.251865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03507152593106625,"score_gpt":0.2609079215303955,"score_spread":0.2258363955993293,"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."}}