{"id":"W6920418911","doi":"10.6068/dp14ba82c276339","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: Oatmeal and rolled oats, Copper, 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; Nutrient; Commodity; 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":[0.001893441,0.002448132,0.002625727,0.00791694,0.003189266,0.004548704,0.004952578,0.001462876,0.1035005],"category_scores_gemma":[0.01581896,0.001714835,0.002145827,0.04283291,0.000655102,0.002518622,0.002149994,0.002875593,0.05467893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05397202,"about_ca_system_score_gemma":0.137253,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9950445,"about_ca_topic_score_gemma":0.9930167,"domain_scores_codex":[0.9962664,0.000224319,0.0004125567,0.0005010738,0.001765764,0.0008298202],"domain_scores_gemma":[0.9683177,0.001116531,0.0009345666,0.0008594397,0.02736766,0.001404122],"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":[0.00002674923,0.000006526044,0.001065243,0.0003237106,0.00002379509,0.000006865938,0.00002183233,0.0001226418,0.00001224706,0.0004415873,0.9960701,0.001878668],"study_design_scores_gemma":[0.0001423311,0.00001189874,0.02215252,0.0008150077,0.00006746381,0.00002272783,0.0003828499,0.0003748393,0.0001724223,0.0006299558,0.9751492,0.00007887265],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004604898,0.00005333717,0.0000214701,0.0001043491,0.00002478285,0.00001314654,0.9987531,0.00004701538,0.0009367868],"genre_scores_gemma":[0.0009149807,0.0003924966,0.0004266449,0.0001630353,0.00001740281,0.0001277098,0.9930044,0.0001189386,0.004834437],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1035005,"threshold_uncertainty_score":0.3915963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02147724753909079,"score_gpt":0.2277511303098238,"score_spread":0.206273882770733,"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."}}