{"id":"W6939170701","doi":"10.6068/dp14ba80c439d97","title":"Trend 1978 - 2009. Statistics Canada. CANSIM: Agriculture - Crops and Horticulture | Country: Canada | Table: Nutrients in the food supply, by source of nutritional equivalent and commodity | Variable: Eggplants, Proteins, Nutrients available | Units: Milligrams Grams, 1978-2009. 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; Economic statistics; Census; Official statistics; Commodity; Greenhouse; Nutrient; 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":[0.001698508,0.002421281,0.002533826,0.008010281,0.003013664,0.004207943,0.004784384,0.00139657,0.09624453],"category_scores_gemma":[0.01459794,0.001558901,0.00211064,0.04215759,0.000641018,0.002380314,0.002064521,0.002804621,0.05079411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.053255,"about_ca_system_score_gemma":0.1296347,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9951152,"about_ca_topic_score_gemma":0.9932895,"domain_scores_codex":[0.9965682,0.0001961518,0.0003694005,0.0004671932,0.001622674,0.0007764393],"domain_scores_gemma":[0.970746,0.0009671189,0.0009167617,0.0007564973,0.02535833,0.001255301],"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":[0.00002763114,0.000006367427,0.001181003,0.0003537072,0.00002528956,0.000007464609,0.00002213037,0.0001165838,0.00001360831,0.0004231714,0.9960373,0.001785846],"study_design_scores_gemma":[0.0001436218,0.00001182098,0.02480892,0.0008336763,0.00006901487,0.00002397967,0.0004120294,0.0003534493,0.0001780758,0.0005670437,0.9725236,0.00007481883],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004795295,0.00005656525,0.00001851943,0.00009933599,0.00002345082,0.00001205056,0.998869,0.00004163488,0.0008314395],"genre_scores_gemma":[0.0009504512,0.0003947337,0.0003665253,0.0001565905,0.00001744992,0.0001193533,0.9935594,0.00009904513,0.004336426],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09624453,"threshold_uncertainty_score":0.3863939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02142205972521296,"score_gpt":0.2261034087155708,"score_spread":0.2046813489903578,"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."}}