{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001559642,0.0004107616,0.0005048871,0.0001219487,0.0004798755,0.0001963933,0.0001210056,0.0001066947,0.00001877666],"category_scores_gemma":[0.0001471208,0.0004398704,0.000008240243,0.000102006,0.0001698729,0.00007925517,0.00007386068,0.0002274199,2.033603e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008182537,"about_ca_system_score_gemma":0.0005124123,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8460408,"about_ca_topic_score_gemma":0.9826685,"domain_scores_codex":[0.9984499,0.00005525782,0.0004543242,0.0004305131,0.000278024,0.0003319613],"domain_scores_gemma":[0.997877,0.001249927,0.0002379808,0.0002450428,0.0001213789,0.0002686779],"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":[0.00001719268,0.00001173929,0.001062363,0.0006995579,0.0002468494,0.00001525979,0.00004170572,0.00001475864,0.00001089163,0.001674567,0.9909497,0.005255453],"study_design_scores_gemma":[0.000331236,0.0001451371,0.03881676,0.00005333521,0.0008003307,0.00002420116,0.001204569,0.0009486404,0.00000761259,0.0003408146,0.9565917,0.0007357137],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.009918853,0.002016803,0.00715532,0.0000258894,0.0002873055,0.0006118945,0.9799534,0.00002671587,0.000003800084],"genre_scores_gemma":[0.006649018,0.001405533,0.01567569,0.0000380806,0.00007291929,0.000363634,0.9756771,0.00006433453,0.00005365762],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1366277,"threshold_uncertainty_score":0.9998053,"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."}}