{"id":"W6920281904","doi":"10.6068/dp14ba807972a69","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: Cucumbers, Phosphorus, Nutrients available | Units: Milligrams, 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00218657,0.002431914,0.002749622,0.008597719,0.003319939,0.00479523,0.00506293,0.001506647,0.1146647],"category_scores_gemma":[0.01681079,0.001767207,0.002253751,0.04475167,0.0006975902,0.00267522,0.002292366,0.00301011,0.06321923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06259596,"about_ca_system_score_gemma":0.1570785,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9953403,"about_ca_topic_score_gemma":0.9931551,"domain_scores_codex":[0.9958087,0.0002921286,0.000458342,0.0005262464,0.001973875,0.0009406119],"domain_scores_gemma":[0.9657683,0.00124134,0.0009845715,0.0009569461,0.02949551,0.00155339],"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":[0.00002878223,0.00000668341,0.0009823865,0.0003210444,0.00002458559,0.000006973848,0.00002229919,0.000114348,0.00001311932,0.0004802694,0.9959646,0.002034799],"study_design_scores_gemma":[0.0001351457,0.00001196057,0.0209314,0.0008473227,0.00007003261,0.0000245652,0.0003965095,0.0003729458,0.000176455,0.000671659,0.9762779,0.00008414169],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004731908,0.00006359928,0.00002810955,0.0001306577,0.00003153011,0.00001708379,0.9984566,0.00006215973,0.001162994],"genre_scores_gemma":[0.001030333,0.0004901126,0.0005747777,0.0002062903,0.00002110516,0.0001597718,0.9911787,0.0001548616,0.006184031],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1146647,"threshold_uncertainty_score":0.4541675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02127174402230277,"score_gpt":0.2265950220742257,"score_spread":0.2053232780519229,"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."}}