{"id":"W6939206087","doi":"10.6068/dp14ba8832a3b77","title":"Trend 2001 - 2009. Statistics Canada. CANSIM: Agriculture - Farm Financial Statistics | Country: Canada | Table: Total and average off-farm income by source and total and average net operating income of farm families by typology group, unincorporated sector | Variable: Large farms, Average net market income adjusted for capital cost allowance | Units: $CAD, 2001-2009. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-003.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic statistics; Descriptive statistics; Agriculture; Allowance (engineering); Summary statistics; Net income; Revenue; Official statistics; Farm income; Census","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":[0.002048236,0.002291528,0.002318096,0.008435882,0.003057793,0.004309856,0.004851787,0.001326134,0.08526873],"category_scores_gemma":[0.0159695,0.001592969,0.001858492,0.03817365,0.0005806737,0.002306779,0.002089495,0.002744363,0.04971483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05631353,"about_ca_system_score_gemma":0.1351101,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9952431,"about_ca_topic_score_gemma":0.9937736,"domain_scores_codex":[0.9958591,0.0002396743,0.0004146738,0.0005138898,0.002022112,0.0009505475],"domain_scores_gemma":[0.9647256,0.001060388,0.001050856,0.0009324313,0.03067315,0.001557647],"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":[0.00002425474,0.00000631266,0.001098173,0.0002354284,0.0000196116,0.000007839737,0.00002140953,0.0001113575,0.00001225702,0.0003716467,0.9961874,0.001904396],"study_design_scores_gemma":[0.0001127872,0.00001092916,0.02647155,0.0007802144,0.00005804825,0.00002673342,0.0004216313,0.0004900683,0.000196668,0.000579038,0.9707691,0.00008323366],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006402479,0.00005323633,0.00002550729,0.0001276142,0.00002738715,0.00001379492,0.9985623,0.00005822578,0.00106798],"genre_scores_gemma":[0.0009662361,0.0003242596,0.000459246,0.00017035,0.00001789548,0.0001100037,0.9924821,0.000114428,0.005355481],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08526873,"threshold_uncertainty_score":0.4085852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01153793175489986,"score_gpt":0.2034630722936227,"score_spread":0.1919251405387228,"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."}}