{"id":"W6901591924","doi":"10.6068/dp157b556ee2a35","title":"RANKING: United States Census Bureau. US Trade by Commodity Group: Exports by State | World Customs Organization Harmonized System Trade Number: 00, 09, 10, 11, 33, 34, 61, 62, 91, 92, 95, 96 | Consumer Item: All Trade, Coffee, Tea, Mate & Spices, Cereals, Milling Products; Malt; Starch; Inulin; Wht Gluten, Essential Oils Etc; Perfumery, Cosmetic Etc Preps, Soap Etc; Waxes, Polish Etc; Candles; Dental Preps, Apparel Articles And Accessories, Knit Or Crochet, Apparel Articles And Accessories, Not Knit Etc., Clocks And Watches And Parts Thereof, Musical Instruments; Parts And Accessories Thereof, Toys, Games & Sport Equipment; Parts & Accessories, Miscellaneous Manufactured Articles, 2013. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 001-035-002","year":2016,"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; State (computer science); Clothing; Value (mathematics); 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":[0.0008693447,0.002148811,0.001791884,0.004800513,0.0008917774,0.00281784,0.002667997,0.001320705,0.1388064],"category_scores_gemma":[0.008262649,0.0006653864,0.001451911,0.01302492,0.0003503606,0.002742766,0.00149861,0.002501145,0.1964867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001695434,"about_ca_system_score_gemma":0.00330756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06740727,"about_ca_topic_score_gemma":0.07440481,"domain_scores_codex":[0.9987606,0.0001476086,0.0001855814,0.0004020958,0.0003144153,0.000189654],"domain_scores_gemma":[0.9959964,0.0005932761,0.0003929808,0.0004264505,0.002315059,0.0002758949],"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":[0.00001135748,0.000006184854,0.0004278006,0.0001427492,0.000009631594,0.000004105986,0.000005327245,0.00005128737,0.0000121447,0.0001839243,0.9980823,0.001063186],"study_design_scores_gemma":[0.0001210914,0.00001098573,0.005604339,0.0002929295,0.00002548407,0.00002677933,0.0001389953,0.0002521379,0.0001037032,0.0009021276,0.9924967,0.00002475429],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005753856,0.00004876426,0.00003218679,0.0000857475,0.00003968876,0.000006994006,0.998675,0.00009115647,0.0009629503],"genre_scores_gemma":[0.0003304484,0.000102024,0.000149558,0.00007307617,0.00002111,0.00005735464,0.9977496,0.00006281328,0.001454054],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1388064,"threshold_uncertainty_score":0.4643537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03308987589747605,"score_gpt":0.2669080792032172,"score_spread":0.2338182033057412,"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."}}