{"id":"W4239923054","doi":"10.4095/301554","title":"Visible Minority Population, 2006 - South Asian Population by Census Division","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; Demography; Sociology; Mathematics","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":[0.0002848512,0.0007892742,0.0002488154,0.001917679,0.0005574336,0.000782076,0.0006397094,0.000214832,0.01451207],"category_scores_gemma":[0.0008810665,0.0001889522,0.0003987586,0.003602232,0.0001164172,0.0008584241,0.0007151742,0.0006199597,0.01193168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001190155,"about_ca_system_score_gemma":0.003660956,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2598423,"about_ca_topic_score_gemma":0.2855043,"domain_scores_codex":[0.9997621,0.00001189281,0.00002473126,0.00002189389,0.0001240347,0.00005518746],"domain_scores_gemma":[0.9995123,0.00001215735,0.00006855665,0.00001223007,0.0003250449,0.0000697108],"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":[0.0001174461,0.00008660278,0.08467743,0.001054262,0.00006416114,0.0001367934,0.001195338,0.0003371449,0.000674784,0.001471717,0.8598559,0.05032828],"study_design_scores_gemma":[0.0000470194,0.00005181365,0.587361,0.0004254236,0.00004000486,0.000262704,0.00256944,0.000452677,0.0006275701,0.0002583382,0.4078788,0.00002516008],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.05231932,0.001794586,0.0003825803,0.0008555196,0.0004727267,0.0004323714,0.8643031,0.0003511412,0.07908867],"genre_scores_gemma":[0.1192478,0.01045039,0.002396124,0.0008076403,0.0001917522,0.001478503,0.7479543,0.0001776375,0.1172959],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7401577,"threshold_uncertainty_score":0.5166597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02175755174320845,"score_gpt":0.3290042954002355,"score_spread":0.307246743657027,"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."}}