{"id":"W6938930878","doi":"10.6068/dp15ad7ca484c5","title":"TREND: United States Census Bureau. US Trade by Commodity Group: Exports by State | State: Ohio | WCO Harmonized Trade Num: 00 | Consumer Item: All Trade, 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":[0.001097713,0.00185733,0.001523101,0.006046779,0.0008973667,0.0025715,0.002413267,0.001076117,0.1001942],"category_scores_gemma":[0.0104668,0.00097669,0.001127592,0.02154875,0.0003520152,0.003186754,0.001631679,0.002694831,0.1220432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002261081,"about_ca_system_score_gemma":0.00543698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1206503,"about_ca_topic_score_gemma":0.08409586,"domain_scores_codex":[0.9982256,0.0002047751,0.0003021345,0.0004414128,0.0006017412,0.0002242433],"domain_scores_gemma":[0.9921682,0.0007284373,0.00086262,0.0006605862,0.005229251,0.0003508746],"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":[0.00001283012,0.000008122645,0.0007106623,0.0001991117,0.00001269738,0.000005278967,0.0000157659,0.00006485298,0.00001546602,0.0003715,0.9969398,0.001643897],"study_design_scores_gemma":[0.00007519374,0.0000102003,0.008880841,0.0004268544,0.00003087449,0.00002545059,0.0001892414,0.0001757949,0.00009363779,0.0007771075,0.9892888,0.00002610691],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005839201,0.00003275105,0.0000480892,0.00006337994,0.00003357664,0.00001705147,0.9986016,0.00006853398,0.001076685],"genre_scores_gemma":[0.0004887657,0.0001523309,0.000281522,0.00009620516,0.0000273017,0.0002024126,0.9970211,0.0001016346,0.001628696],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1206503,"threshold_uncertainty_score":0.335183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04428754458469567,"score_gpt":0.2912684664838801,"score_spread":0.2469809218991844,"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."}}