{"id":"W4239456099","doi":"10.4095/301543","title":"Visible Minority Population by Census Subdivision, 2001","year":2010,"lang":"en","type":"report","venue":"","topic":"Urban, Neighborhood, and Segregation Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Subdivision; Geography; Population; Genealogy; Statistics; Demography; Mathematics; Sociology; History; Archaeology","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":[0.0004382749,0.0006891093,0.0002603242,0.003613406,0.001932489,0.001279434,0.001598647,0.0004750924,0.009168361],"category_scores_gemma":[0.002025494,0.0003397794,0.0003843163,0.006172641,0.0002247626,0.0007417533,0.0007558417,0.0008960429,0.006349921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01133212,"about_ca_system_score_gemma":0.0222648,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9587433,"about_ca_topic_score_gemma":0.9734228,"domain_scores_codex":[0.9991546,0.00002049912,0.00004084955,0.00005102198,0.0005656313,0.0001673591],"domain_scores_gemma":[0.9982247,0.00002380557,0.0001102749,0.00003081275,0.00142226,0.0001881677],"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":[0.0001037163,0.00009945367,0.07741674,0.0004754993,0.00003421653,0.00009719627,0.0008983902,0.0003071258,0.0003910168,0.001384493,0.8779403,0.0408519],"study_design_scores_gemma":[0.00004228809,0.00002721439,0.6559223,0.0003789576,0.00002786598,0.0001271867,0.001321366,0.0004366674,0.0003350342,0.00017927,0.3411731,0.0000287461],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.03356523,0.00234863,0.000240803,0.001533461,0.0002941121,0.0005874267,0.8973268,0.0002394179,0.06386408],"genre_scores_gemma":[0.1021454,0.009053987,0.001923842,0.001290371,0.0001427828,0.0008926743,0.7590147,0.0001007497,0.1254355],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04125667,"threshold_uncertainty_score":0.08299923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06855696995793001,"score_gpt":0.3717514448815171,"score_spread":0.3031944749235871,"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."}}