{"id":"W6976705966","doi":"10.6068/dp15add08f96d42","title":"TREND: United States Census Bureau. US Trade by Commodity Group: Exports by State | State: Texas | WCO Harmonized Trade Num: 85 | Consumer Item: Electric Machinery Etc; Sound Equip; Tv Equip; Pts, 01/2002 - 11/2016. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 001-035-002","year":2017,"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; State (computer science); Population; 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":[0.0009346335,0.001842316,0.001397365,0.005539574,0.0009106476,0.002655247,0.002277166,0.001071451,0.09076252],"category_scores_gemma":[0.008881893,0.0008466274,0.001124222,0.01889839,0.0003423938,0.003099407,0.001519066,0.002512623,0.12766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001961808,"about_ca_system_score_gemma":0.004399766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09653034,"about_ca_topic_score_gemma":0.08091063,"domain_scores_codex":[0.9985672,0.0001650569,0.0002262608,0.0003868832,0.0004730531,0.0001814873],"domain_scores_gemma":[0.9938101,0.0006345866,0.0007032444,0.0006364792,0.003940422,0.0002750463],"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":[0.00001196387,0.000007058089,0.0007140532,0.000143776,0.00001092247,0.000005189985,0.00001222981,0.0000707768,0.00001505905,0.000345058,0.9973253,0.00133855],"study_design_scores_gemma":[0.00006656926,0.00000855809,0.007209973,0.0003174355,0.00002280917,0.00002329434,0.0001690347,0.0002121814,0.00009830843,0.0008171824,0.9910312,0.00002346061],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006415339,0.00002822325,0.00004279292,0.00006094182,0.00003350284,0.00001048376,0.9987671,0.00006767824,0.0009251595],"genre_scores_gemma":[0.0003816598,0.00009181647,0.0001861561,0.00006552278,0.00002004671,0.0001024752,0.9977198,0.00006985762,0.001362638],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09653034,"threshold_uncertainty_score":0.3036309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03988255745879845,"score_gpt":0.2939059573409243,"score_spread":0.2540233998821259,"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."}}