{"id":"W6939102216","doi":"10.6068/dp14ba800b34522","title":"Trend 2001 - 2011. Statistics Canada. CANSIM: Agriculture - Farm Financial Statistics | Country: Canada | Table: Farm financial survey, financial structure of farms by revenue class, average per farm | Variable: Total assets, $50,000 to $99,999 | Units: $CAD, 2001-2011. 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":"Revenue; Economic statistics; Descriptive statistics; Agriculture; Census; Summary statistics; Capital (architecture); Official statistics; Farm 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":[0.002242606,0.002339304,0.002350193,0.009457798,0.003538241,0.004784943,0.004934184,0.001469841,0.1034725],"category_scores_gemma":[0.01641704,0.001592802,0.002040704,0.04000337,0.0006204401,0.002594568,0.002169267,0.002784694,0.05768445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05560966,"about_ca_system_score_gemma":0.1399487,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9943377,"about_ca_topic_score_gemma":0.9928899,"domain_scores_codex":[0.995652,0.0002569715,0.0004150777,0.0005245829,0.002124354,0.001027056],"domain_scores_gemma":[0.9626109,0.001139216,0.001026844,0.001053895,0.03245984,0.001709353],"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":[0.00002395763,0.000006065419,0.001093808,0.000265624,0.00001959845,0.000007990099,0.00002204419,0.0001065243,0.00001314633,0.0004525249,0.9956951,0.002293536],"study_design_scores_gemma":[0.00008934729,0.00001024233,0.02129988,0.0007184178,0.0000549431,0.00002675992,0.0003732354,0.0004141602,0.0001680772,0.000635271,0.9761323,0.00007744822],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006224715,0.00006769777,0.00003506759,0.0001458485,0.00003759929,0.00001850353,0.9981582,0.00007544501,0.001399472],"genre_scores_gemma":[0.0009935271,0.0003882913,0.0005675188,0.0001916114,0.0000226159,0.0001352997,0.9912582,0.0001554462,0.006287398],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1034725,"threshold_uncertainty_score":0.4034782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01662722666709062,"score_gpt":0.2334001065868966,"score_spread":0.216772879919806,"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."}}