{"id":"W6926615124","doi":"10.25318/9810064501-eng","title":"Class of worker by visible minority, selected sociodemographic characteristics and the census year: Canada, geographical regions of Canada, provinces and territories and census metropolitan areas with parts","year":2024,"lang":"en","type":"dataset","venue":"Statistics Canada Dissemination","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Metropolitan area; Population; Immigration; Social class; Internal migration","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":[],"consensus_categories":[],"category_scores_codex":[0.00009583313,0.0002418426,0.000351131,0.00004011126,0.0001436391,0.00002874368,0.0001045733,0.0001134084,8.263581e-7],"category_scores_gemma":[0.0001533972,0.000184498,0.00001307422,0.0001393035,0.0005190779,8.889993e-7,0.00008983291,0.000148682,2.764189e-9],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008337401,"about_ca_system_score_gemma":0.001526074,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9885627,"about_ca_topic_score_gemma":0.9997728,"domain_scores_codex":[0.9987876,0.00006066697,0.0002993061,0.0003115163,0.0003184003,0.0002225163],"domain_scores_gemma":[0.9989843,0.0001607879,0.0002475916,0.0001958527,0.0003046115,0.0001068918],"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":[0.00007289831,0.00001056033,0.00646285,0.000324323,0.0002783576,0.000007211283,0.00001248372,1.977335e-7,0.0001073057,0.0005154051,0.9920713,0.000137121],"study_design_scores_gemma":[0.0008805349,0.0003434812,0.2464746,0.0002394498,0.001212156,0.00003830116,0.001667166,0.00004845581,0.0005241617,0.0003949894,0.7473559,0.0008207538],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.05659452,0.003760715,0.000005561761,0.0003386847,0.0001490387,0.0002222248,0.9389174,7.838433e-7,0.0000110588],"genre_scores_gemma":[0.5192226,0.001813981,0.00009073284,0.00002891309,0.00005876494,0.00002125312,0.4786885,0.00001576455,0.00005948216],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.4626281,"threshold_uncertainty_score":0.7523611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002787621570687011,"score_gpt":0.2037408215262876,"score_spread":0.2009531999556006,"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."}}