{"id":"W6939433499","doi":"10.6068/dp14ba81ab9ba71","title":"Trend 2001 - 2012. Statistics Canada. CANSIM: Agriculture - Farm Financial Statistics | Country: Canada | Table: Detailed average operating revenues and expenses of farms, by farm type, incorporated and unincorporated sectors | Variable: Other animal production, Vegetable revenues | Units: $CAD, 2001-2012. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-003.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Revenue; Economic statistics; Descriptive statistics; Agriculture; Census; Summary statistics; Official statistics; Capital (architecture); Publication","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":[0.002188164,0.002463294,0.002432333,0.009291379,0.003193631,0.00481874,0.0047593,0.001421624,0.09300613],"category_scores_gemma":[0.01748382,0.00168606,0.002025171,0.0403552,0.0005915153,0.002575531,0.002200725,0.002878153,0.05276274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05852085,"about_ca_system_score_gemma":0.1458857,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9950023,"about_ca_topic_score_gemma":0.9932129,"domain_scores_codex":[0.995355,0.0002633413,0.000440429,0.0005522226,0.002336688,0.001052358],"domain_scores_gemma":[0.9605239,0.00117774,0.001154151,0.001026302,0.03433449,0.001783302],"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":[0.00002541289,0.000006707417,0.00106306,0.0002557456,0.00002138754,0.000008179894,0.00002115563,0.000120992,0.00001290116,0.0004327979,0.9959643,0.002067283],"study_design_scores_gemma":[0.0001110603,0.00001159111,0.02380671,0.0007561395,0.00006012822,0.0000261985,0.0003842509,0.0004835749,0.0001929101,0.0005963559,0.9734846,0.00008653008],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006409371,0.00006741381,0.00003085161,0.0001503019,0.00003264059,0.00001626621,0.9982758,0.00006977766,0.001292822],"genre_scores_gemma":[0.00110094,0.0004157777,0.0005398525,0.0001961489,0.00002255556,0.0001177655,0.9914656,0.0001457635,0.005995532],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09300613,"threshold_uncertainty_score":0.4246005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02288454725810122,"score_gpt":0.2340335050170751,"score_spread":0.2111489577589739,"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."}}