{"id":"W6976364557","doi":"10.6068/dp14ba86052c82","title":"Trend 1976 - 2009. Statistics Canada. CANSIM: Agriculture - Food and Nutrition | Country: Canada | Table: Nutrients in the food supply, by source of nutritional equivalent and commodity | Variable: Standard milk 3.25%, Fatty acids, mono-unsaturated, Nutrients available | Units: Milligrams Grams, 1976-2009. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-005.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Economic statistics; Census; Official statistics; Commodity; Food security; Summary statistics; Food supply","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.001371725,0.001687076,0.002146938,0.0002412868,0.0004427715,0.000625882,0.003199782,0.00110186,0.0009918202],"category_scores_gemma":[0.0001850477,0.001425822,8.154721e-7,0.001318145,0.0007753049,0.0006106912,0.0009969248,0.001978872,0.00002398652],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007984816,"about_ca_system_score_gemma":0.007852109,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9980349,"about_ca_topic_score_gemma":0.997322,"domain_scores_codex":[0.9890699,0.001444466,0.001881339,0.002269225,0.003596823,0.001738199],"domain_scores_gemma":[0.9925793,0.001137001,0.001622148,0.00327089,0.0003285115,0.001062151],"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":[0.0009353032,0.0010539,0.0001400761,0.001993646,0.0006813064,0.0002164039,0.000008110734,0.000009063639,0.00001809276,0.0003757961,0.9945357,0.00003259118],"study_design_scores_gemma":[0.006771945,0.0007409974,0.000007059055,0.0003855824,0.0008444118,0.0003739884,0.0006544577,0.000535552,9.618789e-7,0.000003308407,0.9881074,0.001574345],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000009100772,0.02197035,0.00001795312,0.000009532956,0.0004530408,0.002887243,0.974082,0.00009549239,0.0004753005],"genre_scores_gemma":[0.0001337189,0.005952442,0.0002809148,0.0002456697,0.0002450615,0.0001386353,0.9920803,0.0003863392,0.0005368813],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01799835,"threshold_uncertainty_score":0.9999214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02234528561307569,"score_gpt":0.2287438430210897,"score_spread":0.206398557408014,"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."}}