{"id":"W6957663461","doi":"10.6068/dp14ba8bbd5ae17","title":"Trend 2001 - 2012. Statistics Canada. CANSIM: Agriculture - Farm Financial Statistics | Country: Canada | Table: Average total agricultural sales of farms, by selected farm type and revenue class, incorporated and unincorporated sectors | Variable: Oilseed and grain farming, All revenue classes, Average program payments and insurance proceeds | Units: $CAD, 2001-2012. 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; Agriculture; Descriptive statistics; Census; Summary statistics; Payment; Total revenue; Official 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":[0.002368519,0.002458287,0.002546283,0.009223957,0.003511038,0.004835788,0.005029339,0.001430465,0.09578089],"category_scores_gemma":[0.01827304,0.001721184,0.002052379,0.04087929,0.0006161759,0.00259597,0.002290668,0.002807151,0.05384153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06209429,"about_ca_system_score_gemma":0.157708,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9957584,"about_ca_topic_score_gemma":0.994332,"domain_scores_codex":[0.995165,0.0002709005,0.0004609989,0.0005710322,0.002437207,0.001094878],"domain_scores_gemma":[0.9564086,0.001277607,0.001151756,0.001105976,0.03814286,0.001913249],"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":[0.0000265897,0.000006777842,0.001077363,0.0002659499,0.00002184799,0.000008049868,0.00002387899,0.0001153862,0.0000135438,0.0004183626,0.9957423,0.002280008],"study_design_scores_gemma":[0.0001142799,0.00001208381,0.02463721,0.0008038399,0.00006674896,0.000025727,0.0004255806,0.0004894081,0.0002027961,0.0006177383,0.9725143,0.00009025752],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006821041,0.00006719313,0.000032598,0.0001621534,0.00003323901,0.00001728392,0.9981871,0.00007463936,0.001357564],"genre_scores_gemma":[0.001142794,0.0004281562,0.0006101074,0.0002216884,0.00002190228,0.000129665,0.9905506,0.000155648,0.006739306],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09578089,"threshold_uncertainty_score":0.4505277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01619927502044243,"score_gpt":0.2307334289777145,"score_spread":0.2145341539572721,"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."}}