{"id":"W6901642091","doi":"10.6068/dp164236d7dac6","title":"TREND: United States Census Bureau. US Trade by Commodity Group: Exports | WCO Harmonized Trade Num: 00 | Consumer Item: All Trade, 01/1850 - 03/2018. Data Planet™ Statistical Datasets: A SAGE Publishing Resource Dataset-ID: 001-035-001National Bureau of Economic Analysis, National Bureau of Economic Research. United States Business Cycle Expansions and Contractions: Recession Bars, 01/1850 - 03/2018. Data Planet™ Statistical Datasets: A SAGE Publishing Resource Dataset-ID: 064-001-001","year":2018,"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; Population; Publishing; Value (mathematics)","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":[0.001090758,0.001811143,0.001504065,0.005991173,0.0009335139,0.002472441,0.002772815,0.00109392,0.09761382],"category_scores_gemma":[0.0125766,0.001068914,0.001130394,0.02353049,0.0003991182,0.003331722,0.001837761,0.002978908,0.1220758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002062666,"about_ca_system_score_gemma":0.004963392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.11037,"about_ca_topic_score_gemma":0.09747106,"domain_scores_codex":[0.9984716,0.000181432,0.0002604856,0.0004095818,0.0004867964,0.0001901313],"domain_scores_gemma":[0.9918864,0.0008139359,0.000864927,0.0008462404,0.005232107,0.0003562727],"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":[0.00001024139,0.000005518887,0.0006007157,0.0001318407,0.00001090561,0.000004652606,0.00001182576,0.00005368337,0.00001066662,0.0002770874,0.9977955,0.001087543],"study_design_scores_gemma":[0.00008864992,0.000009968998,0.008347306,0.0004126077,0.00003180319,0.00002534883,0.0002106087,0.0001681329,0.00009339922,0.001011274,0.9895728,0.00002813686],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005420129,0.00002585127,0.00004118323,0.00005864436,0.00003830847,0.000011171,0.9989625,0.00005570577,0.0007524217],"genre_scores_gemma":[0.0003874186,0.0001011743,0.0002181384,0.00006867132,0.00002520429,0.0001450123,0.9975939,0.0000776889,0.00138275],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.11037,"threshold_uncertainty_score":0.3265507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09049615793802995,"score_gpt":0.3541765317590747,"score_spread":0.2636803738210447,"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."}}