{"id":"W4249631564","doi":"10.4095/301542","title":"Visible Minority Population by Census Division, 2001","year":2010,"lang":"en","type":"report","venue":"","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Division (mathematics); Geography; Population; Genealogy; Demography; Sociology; History; Mathematics; Arithmetic","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":[0.0004701053,0.000863229,0.0002802238,0.004198955,0.001770501,0.001397004,0.001327397,0.0004792593,0.01224546],"category_scores_gemma":[0.00201627,0.0003742031,0.0003864169,0.007143073,0.0002398931,0.000851117,0.0007056641,0.0009873055,0.009085423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01141408,"about_ca_system_score_gemma":0.02701097,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9517882,"about_ca_topic_score_gemma":0.9669079,"domain_scores_codex":[0.9992045,0.00001677466,0.00004008829,0.00004544036,0.0005281019,0.0001650791],"domain_scores_gemma":[0.9982082,0.00002704971,0.00009540712,0.00002891788,0.001464392,0.0001760396],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00006725981,0.00006132106,0.02723145,0.0004675562,0.00002026009,0.00006164995,0.0004134246,0.0002357726,0.0002324258,0.001178703,0.9367483,0.03328196],"study_design_scores_gemma":[0.00005472419,0.00002657039,0.4206567,0.0004989449,0.00002740193,0.0001099131,0.001087561,0.0004011146,0.0003535078,0.0002200356,0.5765323,0.00003111502],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.0116785,0.001810133,0.000191058,0.001208256,0.0003473004,0.0004763477,0.9324468,0.0001854009,0.05165622],"genre_scores_gemma":[0.04401004,0.0102304,0.001807247,0.001144746,0.0001712782,0.00093599,0.8112043,0.00009178132,0.1304041],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04821181,"threshold_uncertainty_score":0.09699142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03328667436002876,"score_gpt":0.36037223703688,"score_spread":0.3270855626768513,"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."}}