{"id":"W6907746149","doi":"10.25318/9810033301-eng","title":"Visible minority by economic family income 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":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Metropolitan area; Urban agglomeration; Population; American Community Survey; Demographic analysis","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":[0.001036882,0.001762059,0.001797914,0.004594433,0.002066818,0.002875225,0.004177088,0.001374158,0.05196382],"category_scores_gemma":[0.007554252,0.001227681,0.00161309,0.01846073,0.0005057009,0.001388337,0.001729213,0.002345193,0.01828375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01809045,"about_ca_system_score_gemma":0.0437465,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9809726,"about_ca_topic_score_gemma":0.9845363,"domain_scores_codex":[0.9986616,0.00007082908,0.0001508941,0.0002081242,0.0004412571,0.0004673783],"domain_scores_gemma":[0.9930481,0.0003589298,0.000438453,0.0003317596,0.005061604,0.0007611313],"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":[0.00003938022,0.0000111112,0.002726548,0.0003319904,0.00002910963,0.00001366265,0.0000336546,0.0001241245,0.00001325797,0.0003637656,0.9950659,0.001247468],"study_design_scores_gemma":[0.0004919522,0.00001852919,0.1174954,0.001403115,0.0001165716,0.00009164916,0.0006089189,0.0006841184,0.000287647,0.0009102136,0.8778005,0.00009149536],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001368812,0.00004082819,0.0000152481,0.0000447991,0.00001103703,0.00001201328,0.9993274,0.00002212729,0.0003897682],"genre_scores_gemma":[0.001758535,0.0001558747,0.0002118346,0.0000940014,0.000009158916,0.0001475591,0.9952351,0.00003986546,0.002347949],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05196382,"threshold_uncertainty_score":0.1738363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00666873191540517,"score_gpt":0.2365701562361882,"score_spread":0.2299014243207831,"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."}}