{"id":"W6919920676","doi":"10.6068/dp14ba7be5b1950","title":"Trend 2001 - 2009. Statistics Canada. CANSIM: Agriculture - Farms and Farm Operators | Country: Canada | Table: Average total income of farm families by farm type, unincorporated sector | Variable: All farm types, Net operating income | Units: $CAD, 2001-2009. 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":"Agriculture; Economic statistics; Census; Official statistics; Distribution (mathematics); Farm income; Summary statistics; Social statistics; Descriptive 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":[0.001905102,0.002123036,0.002366688,0.007587489,0.003051075,0.004484779,0.004778954,0.001296891,0.09987262],"category_scores_gemma":[0.01412298,0.001700526,0.001768345,0.03665024,0.0005567431,0.002420057,0.002091428,0.002809302,0.05287983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0593276,"about_ca_system_score_gemma":0.140791,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.995396,"about_ca_topic_score_gemma":0.9938536,"domain_scores_codex":[0.9960085,0.0002359521,0.0003892812,0.0004784703,0.001916773,0.0009709999],"domain_scores_gemma":[0.969267,0.0009720887,0.0009222574,0.0007765694,0.02656424,0.001497866],"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":[0.00002308006,0.000006409015,0.001012268,0.0002105761,0.00001698407,0.000007052505,0.0000220866,0.0001057006,0.000009991305,0.0003973259,0.9964374,0.001751153],"study_design_scores_gemma":[0.0001180772,0.00001232362,0.02766822,0.000782152,0.00005748239,0.00002924532,0.0005377826,0.0005070083,0.0002025732,0.0006251302,0.9693761,0.00008389298],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007253479,0.0000569438,0.0000294834,0.0001503195,0.00003137593,0.00001748283,0.9981605,0.00006567881,0.001415638],"genre_scores_gemma":[0.001304132,0.0004129683,0.000550442,0.0002297993,0.00002028574,0.0001470251,0.9888781,0.0001550365,0.008302272],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09987262,"threshold_uncertainty_score":0.4304539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878434788142305,"score_gpt":0.2317859060557966,"score_spread":0.2130015581743736,"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."}}