{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.00112637,0.001576939,0.001987037,0.0002317668,0.0003896596,0.0005809675,0.001388096,0.000788802,0.001661574],"category_scores_gemma":[0.0005398048,0.001354973,2.915639e-7,0.001277522,0.000770174,0.0008307236,0.0008349779,0.001169198,0.00001500368],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003430965,"about_ca_system_score_gemma":0.01184421,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9988701,"about_ca_topic_score_gemma":0.9990152,"domain_scores_codex":[0.9925095,0.001084683,0.001565804,0.00223765,0.001351749,0.001250578],"domain_scores_gemma":[0.9937282,0.0004374989,0.001951011,0.002215009,0.0005996638,0.001068607],"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":[0.0002973733,0.0001566092,0.0002699481,0.0007028452,0.0007530208,0.000395172,0.00001166216,0.00006470487,0.001098849,0.00009466331,0.9960951,0.00006002776],"study_design_scores_gemma":[0.001480774,0.0002654835,0.00000718157,0.0001585568,0.0007016693,0.000526052,0.0005932613,0.0008501478,0.000003131908,2.393508e-7,0.9937807,0.001632852],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004556268,0.01449962,0.000003569116,0.000004342436,0.0005453079,0.001459331,0.9827161,0.0001494753,0.0005766607],"genre_scores_gemma":[0.00006542698,0.001915524,0.0004131482,0.0001968204,0.0002875749,0.00003366442,0.989495,0.0006385011,0.006954349],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0125841,"threshold_uncertainty_score":0.9996979,"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."}}