{"id":"W6976818952","doi":"10.6068/dp15add080e2534","title":"TREND: United States Census Bureau. US Trade by Commodity Group: Exports by State | State: Ohio | 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":[0.0009386727,0.00185814,0.001416851,0.005643161,0.00091489,0.002687537,0.00227195,0.001073167,0.09264548],"category_scores_gemma":[0.009000481,0.000858061,0.001133268,0.01937009,0.0003439075,0.003145187,0.001538245,0.002510649,0.128683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00196296,"about_ca_system_score_gemma":0.004431414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09778801,"about_ca_topic_score_gemma":0.08160307,"domain_scores_codex":[0.9985338,0.0001676392,0.0002339392,0.0003932655,0.0004866142,0.0001847367],"domain_scores_gemma":[0.9937274,0.0006385805,0.0007138724,0.0006415551,0.00399858,0.000279985],"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":[0.00001182977,0.000007043131,0.0007095656,0.0001467396,0.00001096504,0.000005186444,0.00001241532,0.00006901087,0.00001501065,0.0003461304,0.9973123,0.001353904],"study_design_scores_gemma":[0.00006464442,0.000008335312,0.007113715,0.0003162995,0.00002241833,0.00002285125,0.0001683009,0.0002016338,0.00009530566,0.0007994001,0.9911641,0.00002311409],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006251547,0.00002835401,0.00004218355,0.00006013873,0.00003393887,0.00001059844,0.9987556,0.00006661945,0.0009400334],"genre_scores_gemma":[0.0003820666,0.00009479499,0.0001876642,0.0000655407,0.00002044655,0.0001046123,0.9976977,0.00007109743,0.001376135],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09778801,"threshold_uncertainty_score":0.30993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03977980166484394,"score_gpt":0.2931112290250374,"score_spread":0.2533314273601934,"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."}}