{"id":"W6958357247","doi":"10.6068/dp15e003ddf3569","title":"Trend 1999 - 2013. Food and Agriculture Organization of the United Nations. Food and Agriculture Organization Statistics: Forestry - Trade Flows | Reporter Country: Canada | Partner Country: Malta | Item: Sawnwood (NC) | Element: Export Quantity - m3, 1999-2013. 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; Mandate; Agency (philosophy); Food systems; European union; Food security; World trade","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":[0.001545583,0.00179627,0.001567283,0.005003979,0.0009488889,0.002856818,0.002823703,0.00115349,0.08104329],"category_scores_gemma":[0.01070919,0.001014604,0.001037422,0.02357059,0.0003370076,0.00277657,0.001663206,0.002356659,0.08173407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004387545,"about_ca_system_score_gemma":0.009009242,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3763759,"about_ca_topic_score_gemma":0.2813799,"domain_scores_codex":[0.9981704,0.0001961451,0.0002398149,0.0003557419,0.0007008121,0.0003370479],"domain_scores_gemma":[0.9922111,0.0007431171,0.00075354,0.0005996308,0.005315442,0.000377211],"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":[0.00002213277,0.000009145419,0.0008107727,0.0002015211,0.00001388998,0.000005755866,0.00001038815,0.00009817008,0.00001591767,0.0003009969,0.9970893,0.001422011],"study_design_scores_gemma":[0.0001092048,0.00001305744,0.01360416,0.0004809994,0.00002866814,0.00001708434,0.0002053037,0.0002302132,0.0001581104,0.0007220915,0.9843971,0.00003393922],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004029377,0.00001866023,0.00001981252,0.00004359862,0.0000220989,0.000006479436,0.9993388,0.0000280914,0.0004821139],"genre_scores_gemma":[0.0002451001,0.00006074427,0.0001349986,0.00003010064,0.00000838804,0.00006773697,0.9984428,0.0000313121,0.0009788364],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6236241,"threshold_uncertainty_score":0.7483704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01931444641229751,"score_gpt":0.237879518680367,"score_spread":0.2185650722680695,"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."}}