{"id":"W6926458703","doi":"10.25318/3210007501-eng","title":"Average total income of farm operators by income quintile","year":2019,"lang":"en","type":"dataset","venue":"Statistics Canada Dissemination","topic":"Microbial Natural Products and Biosynthesis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Farm income; Household income; Income distribution; Distribution (mathematics); Adjusted gross income; Income Support; Total personal 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":[0.0005050905,0.0009280174,0.001024962,0.004156112,0.0008452735,0.001468241,0.001603361,0.0005663443,0.02478238],"category_scores_gemma":[0.003920328,0.000424636,0.000885294,0.01173629,0.0003025993,0.0006360336,0.0008267849,0.001299056,0.01196313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005663543,"about_ca_system_score_gemma":0.01011389,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8329065,"about_ca_topic_score_gemma":0.8576212,"domain_scores_codex":[0.9991636,0.00005442313,0.00008688485,0.0001600564,0.0002993558,0.0002357383],"domain_scores_gemma":[0.9975603,0.0002248755,0.0003319449,0.0001235051,0.001518097,0.0002413905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00007501927,0.00001354845,0.008859741,0.0003182029,0.00005238878,0.00002090627,0.00001828603,0.0003355628,0.00002255344,0.0004438253,0.9874528,0.00238726],"study_design_scores_gemma":[0.0003734881,0.00002935555,0.1685582,0.0007632902,0.0001389719,0.0001241514,0.0004143203,0.001168764,0.0003551708,0.0007009016,0.8273062,0.0000672629],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005984957,0.0001055361,0.00002537514,0.0000677214,0.00001410826,0.00000966644,0.9980743,0.00004250841,0.001062275],"genre_scores_gemma":[0.004159807,0.0003092878,0.0001243959,0.00006410233,0.00001290095,0.00005041916,0.9923821,0.00002331008,0.002873584],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1670935,"threshold_uncertainty_score":0.3361549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004398647861181716,"score_gpt":0.2444012907884705,"score_spread":0.2400026429272888,"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."}}