{"id":"W6901661496","doi":"10.6068/dp15e74d0cfab85","title":"Trend 1961 - 2011. Food and Agriculture Organization of the United Nations. Food and Agriculture Organization Statistics: Commodity Balance - Livestock, Fish | Country: Canada | Item: Animal fats | Element: Export Quantity - tonnes, 1961-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 067-001-029.","year":2017,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Commodity; Agriculture; Animal food; Food security; Food systems; Standardization; Food processing; Subsidy","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":[0.001366955,0.001756021,0.00143703,0.004831959,0.0008249273,0.002485608,0.002661638,0.001134296,0.07534147],"category_scores_gemma":[0.009353831,0.0009963964,0.001050006,0.02179916,0.0003623494,0.002526726,0.001452113,0.002479211,0.08440788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004534263,"about_ca_system_score_gemma":0.008312182,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3446804,"about_ca_topic_score_gemma":0.2658614,"domain_scores_codex":[0.9983165,0.0001667362,0.0002095403,0.0003318584,0.000687348,0.0002879875],"domain_scores_gemma":[0.9927511,0.0007352066,0.0007848103,0.0006439265,0.004750034,0.0003348051],"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":[0.00002747419,0.00001094718,0.001102505,0.0002559806,0.00001583773,0.000007378088,0.00001124157,0.0001395567,0.00002654146,0.0003798548,0.9964412,0.001581362],"study_design_scores_gemma":[0.00009423602,0.00001277433,0.01665329,0.0004251183,0.00002390491,0.00002198881,0.0001797186,0.0002153134,0.0001891827,0.000569079,0.9815814,0.00003394137],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004872995,0.00002020501,0.00002033951,0.00003543783,0.00001975716,0.00000591441,0.9992905,0.0000316628,0.000527337],"genre_scores_gemma":[0.0002490624,0.00006263694,0.000121241,0.00002323247,0.00000778578,0.00004879347,0.9985045,0.00002962585,0.0009530844],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6553196,"threshold_uncertainty_score":0.6853483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0207989242198288,"score_gpt":0.2346499475833304,"score_spread":0.2138510233635016,"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."}}