{"id":"W6958188197","doi":"10.6068/dp14ba7c8d09371","title":"Trend 2001 - 2012. Statistics Canada. CANSIM: Agriculture - Farm Financial Statistics | Country: Canada | Table: Distribution of farms, by farm type and net operating income group, incorporated and unincorporated sectors | Variable: All farm types, Numbers of farms with net operating income between $1 and $24,999 | Units: #, 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":"Economic statistics; Agriculture; Revenue; Distribution (mathematics); Descriptive statistics; Census; Summary statistics; Farm income; Personal income; Net 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":[0.002389369,0.002465287,0.002516753,0.009428769,0.003444788,0.004734432,0.005084972,0.001415794,0.09375507],"category_scores_gemma":[0.0193565,0.001721387,0.002010738,0.04130714,0.0006349128,0.00258949,0.002270569,0.002887189,0.05205146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06231094,"about_ca_system_score_gemma":0.1592709,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9958367,"about_ca_topic_score_gemma":0.9944116,"domain_scores_codex":[0.9951261,0.0002882679,0.0004692839,0.0005784274,0.002424828,0.00111296],"domain_scores_gemma":[0.9558976,0.001344594,0.001218946,0.001136949,0.03845911,0.001942894],"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":[0.00002531644,0.000006267639,0.001060798,0.0002601513,0.00002151057,0.000007967426,0.00002469902,0.0001267533,0.00001314348,0.0004481026,0.9958378,0.002167538],"study_design_scores_gemma":[0.0001136341,0.00001212696,0.02469663,0.0008211957,0.00006254442,0.00002658114,0.0004597418,0.0005291349,0.0001958072,0.0006854721,0.9723018,0.00009537521],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000684112,0.00006461261,0.00003647317,0.0001629222,0.00003373854,0.00001738572,0.9982083,0.00007901893,0.001329185],"genre_scores_gemma":[0.001218988,0.0004357051,0.00067296,0.0002242176,0.00002248743,0.0001431035,0.9903374,0.0001691548,0.006776048],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09375507,"threshold_uncertainty_score":0.4520996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01975109131177694,"score_gpt":0.2314681759675748,"score_spread":0.2117170846557979,"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."}}