{"id":"W6976730213","doi":"10.6068/dp14ba7f3778574","title":"Trend 1981 - 2010. Statistics Canada. CANSIM: Agriculture - Farm Financial Statistics | Country: Canada | Table: Agriculture value-added account | Variable: Sales to other sectors | Units: $CAD x 1,000, 1981-2010. 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":"Economic statistics; Agriculture; Descriptive statistics; Census; Revenue; Summary statistics; Official statistics; Capital (architecture)","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":[0.002064436,0.002221079,0.002322765,0.009379175,0.003298211,0.004945357,0.004594238,0.001392003,0.09638055],"category_scores_gemma":[0.01523598,0.001710604,0.001839937,0.04069552,0.0006299432,0.002608083,0.002123185,0.002716706,0.058996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06363096,"about_ca_system_score_gemma":0.15829,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9954527,"about_ca_topic_score_gemma":0.9935144,"domain_scores_codex":[0.9955947,0.0002194955,0.0003944196,0.0004806826,0.002278908,0.001031898],"domain_scores_gemma":[0.9652702,0.0009784718,0.0009771872,0.0008884164,0.03032581,0.001559962],"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":[0.00002203759,0.000006089606,0.0008749307,0.0002286701,0.00001695492,0.000007426973,0.00002066555,0.000109736,0.00001218109,0.0004601997,0.9961986,0.002042582],"study_design_scores_gemma":[0.0000870414,0.00001005249,0.02107382,0.0005652034,0.00004594543,0.00002165446,0.0003562202,0.0003781751,0.0001790257,0.000506333,0.9767066,0.00006990958],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006746296,0.0000643536,0.00002847178,0.0001493933,0.00003632779,0.00001767897,0.997841,0.0000756245,0.001719689],"genre_scores_gemma":[0.001223966,0.0004281687,0.0005210557,0.0001942521,0.00002376927,0.0001281357,0.9882807,0.0001532519,0.009046702],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09638055,"threshold_uncertainty_score":0.4616771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01966962948092762,"score_gpt":0.2329455172487736,"score_spread":0.213275887767846,"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."}}