{"id":"W6920411898","doi":"10.6068/dp15add08462636","title":"TREND: United States Census Bureau. US Trade by Commodity Group: Exports by State | State: Oregon | 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":[0.0009197557,0.0018399,0.001396604,0.005554724,0.0009018643,0.002683408,0.002268654,0.001054836,0.09307583],"category_scores_gemma":[0.00870777,0.0008508255,0.001123426,0.01908842,0.0003403023,0.003157164,0.001522871,0.002493456,0.1293976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001934396,"about_ca_system_score_gemma":0.004393509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09651291,"about_ca_topic_score_gemma":0.08251136,"domain_scores_codex":[0.9985845,0.0001590643,0.0002249632,0.0003817508,0.0004715578,0.0001782053],"domain_scores_gemma":[0.9939892,0.0006118681,0.0006820468,0.0006232923,0.00382444,0.0002691452],"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":[0.00001198292,0.000007184082,0.0007119271,0.0001478059,0.00001108721,0.000005278591,0.00001229974,0.00006975516,0.00001542761,0.0003516764,0.9972709,0.001384701],"study_design_scores_gemma":[0.00006475682,0.000008164132,0.006966095,0.0003179661,0.00002260372,0.00002259182,0.0001682466,0.0002022918,0.00009711939,0.0008000572,0.9913073,0.00002282641],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006321086,0.0000277791,0.00004228779,0.00006024574,0.00003357532,0.00001065658,0.9987215,0.00006735598,0.0009733032],"genre_scores_gemma":[0.0003678913,0.00009323926,0.000186664,0.00006345868,0.00001958218,0.000101988,0.9977002,0.00007092539,0.001396245],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09651291,"threshold_uncertainty_score":0.3113697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03957996860131248,"score_gpt":0.2934232764071706,"score_spread":0.2538433078058581,"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."}}