{"id":"W6926575180","doi":"10.25318/9810033201-eng","title":"Visible minority by individual low-income status and generation status: Canada, provinces and territories, census metropolitan areas and census agglomerations with parts","year":2022,"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":"Census; Metropolitan area; Urban agglomeration; Population; American Community Survey","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":[0.0009639353,0.00161231,0.001730998,0.004256876,0.00188314,0.002806029,0.003916832,0.001493149,0.05942127],"category_scores_gemma":[0.009285096,0.0009547039,0.001297162,0.01598312,0.0005009498,0.0010016,0.001739123,0.002135554,0.02466054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01073656,"about_ca_system_score_gemma":0.02730191,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9326783,"about_ca_topic_score_gemma":0.949118,"domain_scores_codex":[0.9988177,0.00007644933,0.0001302212,0.0002464322,0.0003745678,0.000354439],"domain_scores_gemma":[0.9934109,0.000634201,0.0005511976,0.0005181581,0.004074211,0.0008113253],"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":[0.00004692269,0.000009719943,0.002422595,0.0003178288,0.00003237423,0.00001248551,0.00001991593,0.0001423226,0.00001473149,0.0002985947,0.9955444,0.001138237],"study_design_scores_gemma":[0.000582136,0.00001542403,0.06016605,0.001140083,0.0001109996,0.0000730207,0.0003022943,0.0006065594,0.0002436834,0.0009594214,0.9357323,0.00006808732],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000816799,0.00002800307,0.00001145343,0.00002906332,0.000006617129,0.000005998265,0.9995404,0.00002300603,0.0002738167],"genre_scores_gemma":[0.0009650327,0.00008289301,0.0001429358,0.00005716866,0.000005944075,0.0000806935,0.9973294,0.00002923556,0.001306696],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06732166,"threshold_uncertainty_score":0.1987839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006132551560136891,"score_gpt":0.2501476336099675,"score_spread":0.2440150820498306,"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."}}