{"id":"W6938854561","doi":"10.6068/dp14ba82204aa67","title":"Trend 2001 - 2011. Statistics Canada. CANSIM: Agriculture - Farm Financial Statistics | Country: Canada | Table: Farm financial survey, Canadian and regional agricultural balance sheet | Variable: Current assets (x 1,000,000), Total, all farms | Units: $CAD, 2001-2011. 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":"Balance sheet; Economic statistics; Agriculture; Descriptive statistics; Revenue; Census; Official statistics; 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":[0.002412999,0.002424581,0.00248289,0.009089207,0.003357225,0.005016837,0.00473259,0.001542175,0.09690849],"category_scores_gemma":[0.01812946,0.001810019,0.00202965,0.04114503,0.0006165272,0.002623575,0.002305784,0.003045395,0.05503532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06329561,"about_ca_system_score_gemma":0.1522101,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9949262,"about_ca_topic_score_gemma":0.9929932,"domain_scores_codex":[0.9951729,0.0002854617,0.000484338,0.000523899,0.002450748,0.001082612],"domain_scores_gemma":[0.9608759,0.001185263,0.0010789,0.001020138,0.0341249,0.001714875],"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":[0.00002394436,0.000006441152,0.0009014485,0.0002587908,0.00001912417,0.000007838495,0.00002089556,0.0001102741,0.00001170857,0.0004041754,0.9960762,0.002159151],"study_design_scores_gemma":[0.0001039487,0.00001067831,0.02112863,0.0007815498,0.00005815526,0.00002509738,0.0003938413,0.0004377626,0.0001744134,0.0005871003,0.9762171,0.00008168507],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006099091,0.00007700678,0.00003337771,0.0001739421,0.00004079332,0.00001894976,0.9980637,0.00007581298,0.00145528],"genre_scores_gemma":[0.00109168,0.0004933424,0.0006418411,0.0002313893,0.00002466994,0.0001489043,0.9901869,0.0001608152,0.007020294],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09690849,"threshold_uncertainty_score":0.459244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02997108412721262,"score_gpt":0.2465128355469887,"score_spread":0.2165417514197761,"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."}}