{"id":"W6939270550","doi":"10.6068/dp15e6eca5fa424","title":"Trend 2011 - 2013. Food and Agriculture Organization of the United Nations. Food and Agriculture Organization Statistics: Forestry - Trade Flows | Reporter Country: Mongolia | Partner Country: Canada | Item: Paper+-Board Ex Newsprnt | Element: Import Value - 1000 US$, 2011-2013. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 067-001-069.","year":2017,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Agency (philosophy); Mandate; European union; China; Food systems","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":[0.001609909,0.001612309,0.001576584,0.004018274,0.0007924462,0.002297858,0.002503458,0.001056502,0.06621133],"category_scores_gemma":[0.008793619,0.001019416,0.00105828,0.01588002,0.0002691921,0.002258293,0.001509571,0.00203216,0.06980305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003740737,"about_ca_system_score_gemma":0.007356053,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3125324,"about_ca_topic_score_gemma":0.2213618,"domain_scores_codex":[0.9985105,0.0001735523,0.0002098949,0.0003242648,0.0004825436,0.0002991653],"domain_scores_gemma":[0.9939718,0.000561289,0.0006798895,0.0005505849,0.003922538,0.0003139664],"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":[0.00002845578,0.00001062355,0.001459637,0.0003207534,0.00002257453,0.000007189446,0.00001658463,0.0001305761,0.00002299947,0.0002966895,0.9959125,0.001771207],"study_design_scores_gemma":[0.0001200922,0.00001950833,0.02190737,0.0005739296,0.00003867891,0.00002048019,0.0002394387,0.0002597197,0.0001811267,0.0005584419,0.9760458,0.00003551662],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007076711,0.00002667392,0.00002047506,0.00004546865,0.0000253833,0.000007016576,0.9993041,0.00003173675,0.0004683471],"genre_scores_gemma":[0.0003427267,0.00005903789,0.0001334433,0.00002959132,0.00000791714,0.00006295097,0.9982529,0.00002860369,0.001082827],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6874676,"threshold_uncertainty_score":0.6214265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01408282594827366,"score_gpt":0.2266748519931353,"score_spread":0.2125920260448617,"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."}}