{"id":"W6901784226","doi":"10.6068/dp14ba80b24c892","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: Other animal production, Hog 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; Revenue; Economic statistics; Census; Official statistics; Distribution (mathematics); Summary 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":[0.001934818,0.002425719,0.002650643,0.008813966,0.003106054,0.005186663,0.004763023,0.00146597,0.0983268],"category_scores_gemma":[0.01539736,0.001889879,0.001979551,0.04174818,0.0006010936,0.002709605,0.002214837,0.002882961,0.05698751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06281836,"about_ca_system_score_gemma":0.1502893,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9955036,"about_ca_topic_score_gemma":0.9937448,"domain_scores_codex":[0.995379,0.0002531957,0.0004422368,0.0005531235,0.00225607,0.001116364],"domain_scores_gemma":[0.9641411,0.001128879,0.001111612,0.0008731312,0.03100559,0.001739685],"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":[0.00002281135,0.000006646475,0.001020946,0.000224392,0.00001823091,0.000006895453,0.00001980539,0.0001154045,0.000009628865,0.0003969893,0.9964539,0.001704227],"study_design_scores_gemma":[0.000120491,0.00001284394,0.02496282,0.0007714836,0.00006180489,0.00002764526,0.000482111,0.0005443104,0.0002039806,0.0005882329,0.9721357,0.00008868158],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006854496,0.0000668704,0.00002932863,0.0001537057,0.00003089163,0.00001672704,0.9981152,0.00006898461,0.001449857],"genre_scores_gemma":[0.00124809,0.0004656457,0.0005008152,0.000222471,0.00002167864,0.0001278917,0.9892874,0.000163796,0.007962166],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0983268,"threshold_uncertainty_score":0.4557812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02478370879888444,"score_gpt":0.2378342418287999,"score_spread":0.2130505330299154,"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."}}