{"id":"W6938839981","doi":"10.6068/dp14ba807a3a874","title":"Trend 1976 - 2009. Statistics Canada. CANSIM: Agriculture - Crops and Horticulture | Country: Canada | Table: Nutrients in the food supply, by source of nutritional equivalent and commodity | Variable: Rye flour, Sodium, Nutrients available | Units: Milligrams, 1976-2009. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-002.","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; Census; Economic statistics; Official statistics; Greenhouse; Commodity; Nutrient; Statistical analysis","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":[0.001962251,0.00235386,0.002691497,0.008013124,0.003150564,0.004416512,0.004985741,0.001425088,0.1030752],"category_scores_gemma":[0.01579747,0.001658371,0.002238415,0.04189447,0.0006635,0.002426655,0.00213165,0.002878872,0.05458575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05889313,"about_ca_system_score_gemma":0.1482258,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9954267,"about_ca_topic_score_gemma":0.9933606,"domain_scores_codex":[0.9960985,0.0002443197,0.0004330338,0.0004981972,0.001860393,0.0008654793],"domain_scores_gemma":[0.9669301,0.001154316,0.0009935579,0.000834686,0.02861225,0.001474948],"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":[0.00002975337,0.000006911928,0.001140253,0.0003699092,0.00002535157,0.000007383013,0.00002349001,0.0001164743,0.00001349198,0.0004342328,0.9958615,0.001971242],"study_design_scores_gemma":[0.0001489625,0.00001319928,0.02552428,0.0009200271,0.00007536621,0.00002578158,0.000436208,0.0003680719,0.0001801874,0.0006246776,0.9715998,0.00008334374],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004992214,0.00006097026,0.00002278212,0.0001148471,0.0000265848,0.00001513171,0.9986987,0.00004738846,0.000963681],"genre_scores_gemma":[0.001046669,0.0004725248,0.000488679,0.0001978173,0.00001979047,0.0001497785,0.9919255,0.0001273446,0.005571751],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1030752,"threshold_uncertainty_score":0.4273016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02117224237701352,"score_gpt":0.226769536657433,"score_spread":0.2055972942804195,"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."}}