{"id":"W6913033704","doi":"10.5683/sp2/5ho61g","title":"Visible Minority (15), Immigrant Status and Period of Immigration (11), Age (12), Generation Status (4) and Sex (3) for the Population in Private Households of Canada, Census Metropolitan Areas, Census Agglomerations and Census Tracts, 2016 Census - 25% Sample Data [custom tabulation]","year":2021,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Metropolitan area; Immigration; Urban agglomeration; American Community Survey; Population","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":[0.0008411413,0.001146743,0.001050306,0.003504458,0.001236953,0.001688827,0.002140019,0.00105796,0.0401821],"category_scores_gemma":[0.00641681,0.0006354268,0.0009191314,0.009676374,0.0003732165,0.000894836,0.00106612,0.001400715,0.02411464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008093524,"about_ca_system_score_gemma":0.01929709,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8876384,"about_ca_topic_score_gemma":0.9322287,"domain_scores_codex":[0.9989436,0.00006530521,0.000126911,0.0002194401,0.0003536331,0.0002910494],"domain_scores_gemma":[0.9956879,0.0002951704,0.0003916058,0.000281537,0.002924826,0.0004190531],"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":[0.00003532171,0.00001295712,0.004646841,0.0002263291,0.00001858783,0.00001154084,0.00003856494,0.0001535101,0.00002716938,0.0003981169,0.9927728,0.001658352],"study_design_scores_gemma":[0.0001624857,0.00001361099,0.08373392,0.00058783,0.00004608559,0.00005653486,0.0003988103,0.0004673267,0.0002761735,0.0005574211,0.9136416,0.00005805399],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001732954,0.00002063404,0.00001651635,0.00003003983,0.00001056403,0.000008500511,0.9992167,0.00002300158,0.000500687],"genre_scores_gemma":[0.0009876279,0.00006053466,0.000173757,0.00005713184,0.000006048489,0.00008371857,0.996534,0.00002164742,0.002075505],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1123616,"threshold_uncertainty_score":0.2260466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03990265824986876,"score_gpt":0.2818423323086338,"score_spread":0.241939674058765,"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."}}