{"id":"W6958118188","doi":"10.6068/dp14ba85544e353","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: Concentrated skim milk, Fat, Nutrients available adjusted for losses | Units: Milligrams Grams, 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 supply; Food security; Summary 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":[0.002153667,0.002492778,0.002759224,0.008053469,0.003120861,0.004554853,0.005114248,0.001540486,0.1218714],"category_scores_gemma":[0.01729964,0.001686116,0.002318231,0.04217952,0.0006486236,0.002590192,0.002329991,0.00301678,0.07076588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04973575,"about_ca_system_score_gemma":0.1272798,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9928989,"about_ca_topic_score_gemma":0.9899641,"domain_scores_codex":[0.9961505,0.0002815744,0.0004390717,0.0005379504,0.001747475,0.0008434858],"domain_scores_gemma":[0.9683278,0.00123768,0.0009696343,0.001019699,0.02703933,0.001405958],"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":[0.00002670053,0.000005920268,0.0008981493,0.0003078984,0.0000238653,0.000006081668,0.00001865532,0.00009983995,0.00001159627,0.0003822077,0.9964222,0.001797057],"study_design_scores_gemma":[0.0001430106,0.00001125965,0.0193105,0.0008391379,0.00006946995,0.00002373741,0.0003252154,0.0003422517,0.0001604488,0.000661696,0.978034,0.0000793713],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003708499,0.00005082239,0.00002385109,0.00009476986,0.00002581664,0.00001373872,0.9988392,0.00005362981,0.0008610946],"genre_scores_gemma":[0.0007338183,0.000344311,0.0004341966,0.0001595893,0.00001805013,0.0001367512,0.9938695,0.0001280087,0.00417565],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1218714,"threshold_uncertainty_score":0.4077006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.030282552873073,"score_gpt":0.2367988566587423,"score_spread":0.2065163037856693,"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."}}