{"id":"W6976691210","doi":"10.6068/dp14ba86f804b10","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: 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: 075-001-007.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Livestock; Agriculture; Economic statistics; Census; Commodity; Official statistics; Statistical analysis; Socioeconomic status","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":[0.001828913,0.002475205,0.002613982,0.007869548,0.002961188,0.004301007,0.004784695,0.001514657,0.1021885],"category_scores_gemma":[0.01534929,0.00162594,0.002206142,0.03895873,0.000644801,0.002397884,0.002141734,0.002899181,0.05727921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05092575,"about_ca_system_score_gemma":0.1290676,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9945687,"about_ca_topic_score_gemma":0.9925663,"domain_scores_codex":[0.9964374,0.000221904,0.0003969899,0.000488974,0.00167648,0.0007782513],"domain_scores_gemma":[0.9716451,0.001005147,0.0009102789,0.0007712995,0.02439498,0.001273129],"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":[0.00002462324,0.000006280894,0.001145208,0.0003008922,0.00002413541,0.000006551602,0.00001901453,0.000115575,0.00001171832,0.0003679757,0.9963101,0.001667981],"study_design_scores_gemma":[0.0001534249,0.00001227365,0.02444206,0.0009094453,0.00007239237,0.00002603477,0.0003963517,0.0004207949,0.0001774176,0.0006295583,0.9726765,0.0000838086],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004475406,0.0000527717,0.00002047716,0.00009770487,0.00002412183,0.00001259531,0.9988911,0.00004372471,0.0008127235],"genre_scores_gemma":[0.0008901132,0.0003714658,0.0004071378,0.0001632736,0.00001819935,0.0001277104,0.9935104,0.0001081172,0.004403534],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8978115,"threshold_uncertainty_score":0.3694939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02488778408592154,"score_gpt":0.2204635391528844,"score_spread":0.1955757550669628,"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."}}