{"id":"W6926398480","doi":"10.25318/9810007401-eng","title":"Economic family unit income statistics for income sources and taxes by family characteristics and decile group: Canada, provinces and territories, census metropolitan areas and census agglomerations with parts","year":2022,"lang":"en","type":"dataset","venue":"Statistics Canada Dissemination","topic":"SAS software applications and methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Decile; Census; Metropolitan area; Unit (ring theory); Household income; Family income; Government (linguistics); Urban agglomeration","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":[0.001535799,0.001262537,0.001300285,0.004557455,0.001376238,0.001908963,0.002575357,0.0007296949,0.04751026],"category_scores_gemma":[0.01106865,0.0007846364,0.0008997918,0.01129278,0.0003472438,0.000822747,0.001221328,0.002566289,0.02662518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009336499,"about_ca_system_score_gemma":0.02129431,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.846727,"about_ca_topic_score_gemma":0.8847994,"domain_scores_codex":[0.9984339,0.0001460372,0.000207192,0.0002796678,0.0005687442,0.0003644416],"domain_scores_gemma":[0.9905345,0.0008600615,0.0006055298,0.0006969828,0.006785429,0.0005175482],"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":[0.00003122024,0.00001318545,0.003229605,0.0001383362,0.00001675863,0.00001008877,0.00002454071,0.0001381963,0.00001619244,0.0006059342,0.9940079,0.001767994],"study_design_scores_gemma":[0.0001978577,0.0000129537,0.05402561,0.0005011636,0.00003801426,0.00005064303,0.0003157348,0.0005075576,0.0002529128,0.0008395629,0.9432141,0.00004403385],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000188987,0.00002066534,0.00005437586,0.00004094247,0.00001251103,0.00002410575,0.9987471,0.0000395494,0.0008717512],"genre_scores_gemma":[0.001086956,0.00006297263,0.0004080321,0.00004672437,0.000007302149,0.0001791338,0.9954834,0.00005302392,0.002672531],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.153273,"threshold_uncertainty_score":0.3083513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006638531744854606,"score_gpt":0.2390501745833377,"score_spread":0.2324116428384831,"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."}}