{"id":"W6901746821","doi":"10.6068/dp1690c7991c038","title":"TREND: Foreign Agricultural Service, United States Department of Agriculture. World Agricultural Production, Supply, and Distribution: Agricultural Commodities | Country: Canada | Commodity: Sugar, Centrifugal | Attribute: Exports, 1960 - 2019. Data Planet™ Statistical Datasets: A SAGE Publishing Resource Dataset-ID: 008-007-001","year":2019,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Commodity; Agricultural communication; Agricultural productivity; Agricultural marketing; Good agricultural practice; Agricultural policy","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":[0.00107363,0.001621394,0.00148557,0.003936769,0.0008952505,0.002466816,0.002868121,0.001518189,0.06493521],"category_scores_gemma":[0.006688995,0.0007381246,0.001027599,0.01363466,0.000457679,0.00198006,0.001479512,0.002711771,0.08016406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003111593,"about_ca_system_score_gemma":0.006145427,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.165915,"about_ca_topic_score_gemma":0.1750468,"domain_scores_codex":[0.9989772,0.0001162498,0.0001308038,0.0003025728,0.0002961966,0.0001771192],"domain_scores_gemma":[0.9958022,0.0005097266,0.0005280339,0.0006047831,0.002179676,0.00037555],"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":[0.00002080791,0.000009103646,0.0006693274,0.0002241871,0.00001561416,0.000005766258,0.000007909354,0.00009962863,0.00002105528,0.000214583,0.997766,0.0009461268],"study_design_scores_gemma":[0.0001878762,0.00001307789,0.006934098,0.0003531156,0.00003125378,0.00002468867,0.0001174202,0.0003055144,0.0001430633,0.0008066036,0.9910548,0.00002844232],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003405516,0.0000225929,0.00001484875,0.00003791317,0.0000129526,0.000003993528,0.9995835,0.00004323536,0.0002468504],"genre_scores_gemma":[0.0002077546,0.00005048369,0.0001028625,0.000032212,0.000006373923,0.00004093737,0.9990884,0.00002505199,0.0004458717],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.834085,"threshold_uncertainty_score":0.3298985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01677238610309065,"score_gpt":0.21973599113135,"score_spread":0.2029636050282594,"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."}}