{"id":"W6976523331","doi":"10.6068/dp14ba8b997d577","title":"Trend 2002 - 2011. Statistics Canada. CANSIM: Agriculture - Farms and Farm Operators | Country: Canada | Table: Distribution of farm operators by income group and farm type, with selected average incomes, unincorporated sector | Variable: Number of farm operators, Other vegetable (except potato) and melon farming, $50,000 to $99,999 | Units: $CAD, 2002-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-004.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Health, Education, and Cultural Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Distribution (mathematics); Economic statistics; Census; Farm income; Official statistics; Summary statistics; Social statistics; Personal 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007287994,0.0008366133,0.00133279,0.00007522439,0.0006795145,0.0002544105,0.0009494327,0.0005837721,0.002096677],"category_scores_gemma":[0.0001048814,0.0006461955,4.522104e-7,0.0008792133,0.0005197866,0.0002669814,0.0002725303,0.0006673368,0.000009948109],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000451068,"about_ca_system_score_gemma":0.009929228,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9996017,"about_ca_topic_score_gemma":0.9995004,"domain_scores_codex":[0.9951978,0.0007048555,0.0009465929,0.001184931,0.001064294,0.0009014934],"domain_scores_gemma":[0.9966863,0.000273715,0.0007387481,0.000874827,0.0005212507,0.0009051397],"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":[0.00008921885,0.0001047884,0.001783473,0.0004330936,0.0003735209,0.00002599897,0.0001399206,0.0000100346,0.00002214461,0.0007643955,0.9961228,0.0001305713],"study_design_scores_gemma":[0.0008457981,0.0001672318,0.0001450121,0.00007272777,0.0002901859,0.00003874367,0.001862801,0.00007831802,6.13746e-7,2.492032e-7,0.9956211,0.0008772172],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002615475,0.005942966,0.000008107828,0.00001090222,0.0004598966,0.001097611,0.9908659,0.00005549224,0.001297573],"genre_scores_gemma":[0.0005739941,0.004038062,0.0001186342,0.0002196392,0.0001626642,0.0000265713,0.9884633,0.0001243432,0.006272729],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.00947816,"threshold_uncertainty_score":0.9995989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0131561732139446,"score_gpt":0.2420976392999527,"score_spread":0.2289414660860081,"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."}}