{"id":"W6901470029","doi":"10.6068/dp14ba809b35166","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: Cherries, Vitamin B-12, Nutrients available | Units: Micrograms, 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 security; Food supply; Summary statistics","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":[0.00227269,0.00243398,0.002812307,0.008329663,0.003358634,0.004900829,0.005145007,0.00158961,0.1235019],"category_scores_gemma":[0.01749368,0.001814665,0.002278818,0.04358029,0.0007028807,0.002679298,0.00230945,0.003083006,0.06719125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06156453,"about_ca_system_score_gemma":0.1572041,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9949986,"about_ca_topic_score_gemma":0.9926576,"domain_scores_codex":[0.9958149,0.0003011132,0.0004595057,0.0005305895,0.001961698,0.0009321849],"domain_scores_gemma":[0.9655662,0.001301244,0.0009789674,0.0009890313,0.0295289,0.001635756],"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":[0.00002937873,0.000006604327,0.0008835093,0.0003123423,0.00002360362,0.000006659395,0.00002089964,0.0001048767,0.00001246808,0.0004572551,0.996136,0.002006439],"study_design_scores_gemma":[0.0001393574,0.00001228793,0.01946416,0.0008544998,0.00006983971,0.00002429417,0.0003738244,0.0003487566,0.0001672005,0.0006753168,0.9777882,0.00008233533],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004597689,0.00006667191,0.00002963041,0.0001436326,0.00003543523,0.00001863568,0.9982942,0.00006625744,0.001299558],"genre_scores_gemma":[0.001028366,0.0005244263,0.0006102669,0.0002367978,0.00002348875,0.0001751129,0.9904047,0.0001701003,0.006826779],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1235019,"threshold_uncertainty_score":0.446684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0231317211886109,"score_gpt":0.2259917791683127,"score_spread":0.2028600579797018,"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."}}