{"id":"W6901692618","doi":"10.6068/dp14ba81aa49663","title":"Trend 2001 - 2012. Statistics Canada. CANSIM: Agriculture - Farms and Farm Operators | Country: Canada | Table: Detailed average operating revenues and expenses of farms, by farm type, incorporated and unincorporated sectors | Variable: Animal production, Other livestock purchases | Units: $CAD, 2001-2012. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-004.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Economic statistics; Census; Revenue; Livestock; Official statistics; Distribution (mathematics); Summary 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":[0.001906782,0.00235738,0.002550079,0.008628288,0.003032592,0.00506203,0.004659703,0.001436496,0.09765961],"category_scores_gemma":[0.01521951,0.001853409,0.001925823,0.04067645,0.0005862064,0.00265142,0.002156066,0.002833353,0.05375728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06339122,"about_ca_system_score_gemma":0.1490289,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9956341,"about_ca_topic_score_gemma":0.9938915,"domain_scores_codex":[0.9954323,0.0002498283,0.0004320106,0.000535655,0.002240571,0.001109536],"domain_scores_gemma":[0.9651576,0.001105188,0.001099758,0.0008292898,0.03009027,0.001718014],"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":[0.00002302921,0.000006872541,0.001054663,0.0002250665,0.00001822615,0.000007065858,0.00002044429,0.0001184349,0.000009503927,0.0004153011,0.9963361,0.001765253],"study_design_scores_gemma":[0.0001203546,0.00001334157,0.02637535,0.0007691469,0.00006183545,0.00002811923,0.0005025453,0.0005514653,0.0002023747,0.0005915318,0.9706953,0.00008863687],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007479398,0.00006999933,0.00003037558,0.0001632389,0.00003186985,0.00001776582,0.9979796,0.00006937879,0.001563084],"genre_scores_gemma":[0.001409375,0.000503252,0.0005345833,0.000240999,0.00002319672,0.0001361012,0.9880759,0.0001679083,0.008908589],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09765961,"threshold_uncertainty_score":0.4599377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02562366317468437,"score_gpt":0.2382588411872036,"score_spread":0.2126351780125192,"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."}}