{"id":"W6938909560","doi":"10.6068/dp14ba837eb3a67","title":"Trend 2003 - 2011. 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 operators by farm type, incorporated and unincorporated sectors | Variable: Animal production, Average off-farm employment income | Units: $CAD, 2003-2011. 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; Descriptive statistics; Revenue; Census; Summary statistics; Net income; Farm income; Personal income; Official 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":[0.002266929,0.002390633,0.002401269,0.00888236,0.003341821,0.004653681,0.004871128,0.00140295,0.08872548],"category_scores_gemma":[0.01780294,0.001716427,0.002082892,0.03932901,0.0006258282,0.002505773,0.002228365,0.002911151,0.04990503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06291806,"about_ca_system_score_gemma":0.155635,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9958995,"about_ca_topic_score_gemma":0.9944955,"domain_scores_codex":[0.9952661,0.0002828306,0.0004830506,0.0005381973,0.002368635,0.001061248],"domain_scores_gemma":[0.9608345,0.001164071,0.001099168,0.0009785362,0.03424193,0.001681812],"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":[0.00002477153,0.000006332968,0.001049085,0.0002638824,0.00002172697,0.000008501339,0.00002307796,0.0001167669,0.00001206032,0.000439582,0.9958416,0.002192727],"study_design_scores_gemma":[0.0001084895,0.00001126723,0.02454163,0.0008701475,0.00006515304,0.00002829475,0.000452122,0.0005090619,0.0001947832,0.0006705315,0.9724586,0.00008987408],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007103832,0.00007568447,0.00003443004,0.0001808582,0.00003678397,0.00001765986,0.9981134,0.00007157616,0.001398616],"genre_scores_gemma":[0.001267217,0.000497118,0.000643661,0.0002417086,0.00002355295,0.0001386473,0.9900745,0.000153854,0.006959694],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08872548,"threshold_uncertainty_score":0.4565046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01187400392911569,"score_gpt":0.2139418773271022,"score_spread":0.2020678733979865,"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."}}