{"id":"W6938962234","doi":"10.6068/dp14ba7ccc6f160","title":"Trend 2001 - 2012. Statistics Canada. CANSIM: Agriculture - Farm Financial Statistics | Country: Canada | Table: Distribution of farms, by revenue class, 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, $10,000 to $49,999 | 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; Revenue; Agriculture; Descriptive statistics; Distribution (mathematics); 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":[0.002117119,0.002404815,0.002554714,0.009475503,0.003165758,0.004468076,0.004944332,0.0013765,0.07904623],"category_scores_gemma":[0.0179669,0.001589171,0.002080659,0.04237348,0.0006238748,0.002359252,0.002111604,0.002864865,0.04429421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05934047,"about_ca_system_score_gemma":0.1466071,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.995728,"about_ca_topic_score_gemma":0.994659,"domain_scores_codex":[0.9957049,0.000252755,0.0004340574,0.0005293186,0.002098496,0.0009804367],"domain_scores_gemma":[0.9606907,0.001258469,0.001175516,0.001022467,0.03423046,0.0016225],"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":[0.00002639506,0.000006296724,0.001141174,0.0002821725,0.00002522954,0.000007962545,0.00002343357,0.0001350213,0.00001264942,0.0004191733,0.9959589,0.001961642],"study_design_scores_gemma":[0.0001273265,0.00001200798,0.02696515,0.0008370126,0.00007414576,0.00002766195,0.0004384401,0.0005756337,0.0002017504,0.0006736305,0.9699712,0.00009604073],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006519134,0.00006354686,0.00002761433,0.0001399283,0.00002891516,0.00001383604,0.9985883,0.00006229951,0.001010402],"genre_scores_gemma":[0.001132531,0.0003866611,0.0004976597,0.0001850742,0.00001997378,0.0001120261,0.9926577,0.0001189245,0.004889399],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07904623,"threshold_uncertainty_score":0.4305472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01950534290725271,"score_gpt":0.2335998083674072,"score_spread":0.2140944654601545,"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."}}