{"id":"W6958272879","doi":"10.6068/dp14ba85c8bf148","title":"Trend 1976 - 2009. Statistics Canada. CANSIM: Agriculture - Livestock and Aquaculture | Country: Canada | Table: Nutrients in the food supply, by source of nutritional equivalent and commodity | Variable: Dry peas, Vitamin B-12, Nutrients available adjusted for losses | Units: Micrograms, 1976-2009. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-007.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Livestock; Agriculture; Economic statistics; Census; Commodity; Official statistics; 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":[0.001952147,0.002464187,0.002715808,0.007856201,0.003192879,0.004615428,0.004968641,0.001557898,0.1095576],"category_scores_gemma":[0.01573057,0.001747673,0.002296275,0.0389319,0.0006759114,0.002485682,0.002210585,0.002997066,0.05630025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05905053,"about_ca_system_score_gemma":0.1496753,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.995577,"about_ca_topic_score_gemma":0.993656,"domain_scores_codex":[0.9961278,0.0002424422,0.0004308768,0.0005128643,0.001831313,0.0008546792],"domain_scores_gemma":[0.9700124,0.001092346,0.0009640614,0.0008014516,0.02566661,0.001463142],"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":[0.00002799395,0.000006785316,0.001140203,0.0003226889,0.00002544143,0.000007057678,0.0000199383,0.0001192507,0.00001216577,0.0004177116,0.9960924,0.001808458],"study_design_scores_gemma":[0.0001579113,0.00001331375,0.02426788,0.000927966,0.00007483186,0.00002751934,0.0004102212,0.0004156864,0.0001825351,0.0006384675,0.9727951,0.00008861032],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000494081,0.00006407324,0.00002284606,0.0001268187,0.00003006072,0.00001513107,0.9985986,0.00004802339,0.001045005],"genre_scores_gemma":[0.001095532,0.0005123285,0.0005012588,0.0002233508,0.00002217006,0.0001542017,0.9911486,0.0001296712,0.006212972],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1095576,"threshold_uncertainty_score":0.4284436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02674607785801112,"score_gpt":0.2355055539475447,"score_spread":0.2087594760895335,"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."}}