{"id":"W6938935485","doi":"10.6068/dp14ba8734d1a63","title":"Most Recent Data (2011). Statistics Canada. CANSIM: Agriculture - Farms and Farm Operators | Country: Canada | Table: Socioeconomic overview of the farm population, number of operators per farm by income classes in the year prior to the census and by age | Variable: Operators 35 to 54 years, On farms with one operator, $50,000 and over | Units: #, 2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-004.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Agriculture; Socioeconomic status; Economic statistics; Distribution (mathematics); Official statistics; Social statistics; Farm income","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":[0.002153942,0.002433568,0.002569136,0.007775922,0.00358815,0.004987234,0.004788141,0.001567479,0.1293257],"category_scores_gemma":[0.0193656,0.001671062,0.001947882,0.04375071,0.0007018717,0.002666573,0.002470743,0.002846253,0.07456216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05465719,"about_ca_system_score_gemma":0.1410289,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9945639,"about_ca_topic_score_gemma":0.9931982,"domain_scores_codex":[0.9953818,0.0002854598,0.0004903137,0.0005564856,0.002220474,0.001065479],"domain_scores_gemma":[0.958419,0.001686352,0.0009958012,0.001076012,0.03590395,0.001918928],"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":[0.00001662191,0.000005467045,0.0006552563,0.0002032032,0.00001212827,0.000005342851,0.00001913035,0.00007917785,0.000007987548,0.0002496035,0.9974478,0.001298187],"study_design_scores_gemma":[0.0001162056,0.000009677405,0.01879024,0.000753223,0.00005264377,0.00002191967,0.0004678077,0.0003338597,0.0001421275,0.000552382,0.9786781,0.00008183238],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004074337,0.00004177219,0.00001865273,0.0001186173,0.00002216294,0.00001175486,0.9986247,0.0000517922,0.001069832],"genre_scores_gemma":[0.0007109299,0.0002905343,0.0003846125,0.0001957528,0.00001587395,0.0001084849,0.9932911,0.0001204555,0.004882218],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1293257,"threshold_uncertainty_score":0.4326378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.020304051620967,"score_gpt":0.2526121274646905,"score_spread":0.2323080758437235,"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."}}