{"id":"W6901385070","doi":"10.6068/dp14ba8436e8954","title":"Trend 1978 - 2009. Statistics Canada. CANSIM: Agriculture - Food and Nutrition | Country: Canada | Table: Nutrients in the food supply, by source of nutritional equivalent and commodity | Variable: Eggplants, Vitamin B-6, Nutrients available adjusted for losses | Units: Milligrams, 1978-2009. 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; Food supply; Summary statistics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002081493,0.002472997,0.002795856,0.008252777,0.003136209,0.004363816,0.005143775,0.001536611,0.1124284],"category_scores_gemma":[0.01590188,0.001750204,0.002388261,0.0435533,0.00065146,0.002556354,0.002260023,0.003041607,0.06080357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05335569,"about_ca_system_score_gemma":0.1348474,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9942827,"about_ca_topic_score_gemma":0.9915676,"domain_scores_codex":[0.9961579,0.0002629158,0.0004481733,0.0005204095,0.001757517,0.0008530972],"domain_scores_gemma":[0.9688485,0.001094095,0.0009465598,0.0009181435,0.0268432,0.001349457],"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":[0.00003116905,0.000006638304,0.001058826,0.0003610426,0.00002792648,0.000007277677,0.00002130731,0.0001071634,0.00001346499,0.0004245766,0.9959097,0.002030989],"study_design_scores_gemma":[0.0001565815,0.00001300195,0.02349734,0.000940253,0.00008117063,0.00002697977,0.000376749,0.0003407606,0.0001712067,0.0006292062,0.9736847,0.00008212338],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004474404,0.00006248106,0.00002482475,0.0001129951,0.00003031954,0.00001519824,0.9986904,0.00005230345,0.0009666551],"genre_scores_gemma":[0.0008998307,0.0004477943,0.0004669587,0.0001825015,0.00002058752,0.0001482364,0.9927701,0.0001258646,0.004937978],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8875716,"threshold_uncertainty_score":0.3871245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02801239535853844,"score_gpt":0.2354176877785512,"score_spread":0.2074052924200127,"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."}}