{"id":"W6939018831","doi":"10.6068/dp1581cd05cba2","title":"TREND: United States Census Bureau. US Trade by Commodity Group: Exports | Country: Mauritania, Niger, Mali, Burkina Faso, Senegal, Chad | World Customs Organization Harmonized System Trade Number: 00 | Consumer Item: All Trade, 2002 - 2016. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 001-035-001","year":2016,"lang":"en","type":"other","venue":"Data Planet","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Liberian dollar; Commodity; Population; Value (mathematics); Documentation; International comparisons","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":[0.00101206,0.001799396,0.001484412,0.005150162,0.0009589023,0.002485858,0.002540322,0.001008269,0.0905452],"category_scores_gemma":[0.0105658,0.0009015081,0.00115119,0.02102096,0.0003160618,0.003361727,0.00144505,0.002346872,0.1131991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002258905,"about_ca_system_score_gemma":0.005652142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1414765,"about_ca_topic_score_gemma":0.1025438,"domain_scores_codex":[0.9986346,0.0001689569,0.0002328898,0.0003566926,0.0004142313,0.0001925491],"domain_scores_gemma":[0.9929206,0.0006262034,0.0007583185,0.0006303762,0.004766763,0.0002976221],"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":[0.00001377613,0.000007024953,0.0008917081,0.0002070501,0.00001332926,0.000006036963,0.00001727688,0.00006138236,0.00001399751,0.0003518295,0.996608,0.001808628],"study_design_scores_gemma":[0.00007672879,0.0000102226,0.009799878,0.0004896283,0.00003193674,0.00002625631,0.0002324396,0.0001784602,0.00009205822,0.0007793323,0.9882569,0.00002613545],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007039231,0.0000395171,0.00004349829,0.0000791214,0.00003859116,0.00001595013,0.998635,0.00006743774,0.001010562],"genre_scores_gemma":[0.0005245729,0.0001625931,0.0002548075,0.00009360989,0.00002644783,0.0001868963,0.9968677,0.00008331714,0.001800068],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1414765,"threshold_uncertainty_score":0.3029039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01839733866982989,"score_gpt":0.2401010211289612,"score_spread":0.2217036824591314,"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."}}