{"id":"W6926900665","doi":"10.25318/1110023701-eng","title":"Distribution of market, total and after-tax income by economic family type, Canada, provinces and selected census metropolitan areas (CMAs)","year":2019,"lang":"en","type":"dataset","venue":"Statistics Canada Dissemination","topic":"Vibrio bacteria research studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Census; Distribution (mathematics); Income distribution; Family income; Household 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":[0.001076066,0.001358444,0.00172101,0.004756091,0.001404673,0.002167828,0.003121772,0.0009858565,0.04192267],"category_scores_gemma":[0.009479621,0.0007530442,0.001189756,0.01742598,0.0004421169,0.0007631818,0.001296708,0.001881957,0.01818911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01083528,"about_ca_system_score_gemma":0.02578804,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9172241,"about_ca_topic_score_gemma":0.9345739,"domain_scores_codex":[0.9987062,0.00009079924,0.0001612767,0.0002750118,0.0004491103,0.0003175898],"domain_scores_gemma":[0.9931664,0.0007049124,0.0006238844,0.0004913042,0.004353221,0.0006602132],"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":[0.00006440137,0.00001070106,0.00365467,0.0004730949,0.00005583715,0.00001295335,0.00001583829,0.0001907942,0.0000191602,0.0003275975,0.9936191,0.001555834],"study_design_scores_gemma":[0.0004908904,0.00001821338,0.08360789,0.001247053,0.0001491413,0.00006501409,0.0002448609,0.0006259173,0.0002670549,0.0007848508,0.9124392,0.00006004283],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001047533,0.00003923068,0.00001281404,0.00002913967,0.00000599692,0.00000591848,0.9994383,0.00002336546,0.0003402651],"genre_scores_gemma":[0.001319933,0.0001490368,0.0001486272,0.00005927952,0.000006263641,0.00007142316,0.9965653,0.0000288255,0.00165143],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08277589,"threshold_uncertainty_score":0.1665267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002896731992686265,"score_gpt":0.2327882050305798,"score_spread":0.2298914730378936,"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."}}