{"id":"W4256325327","doi":"10.4095/301538","title":"Visible Minority Population, 2001 - 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; Genealogy; History; 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":[0.0004378043,0.000940687,0.000257093,0.002763831,0.001782161,0.001050564,0.001130954,0.0004000884,0.006918958],"category_scores_gemma":[0.00121086,0.0003040101,0.0004595446,0.004460604,0.0002193632,0.0008477887,0.000784839,0.0008162246,0.00373869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01006851,"about_ca_system_score_gemma":0.0292267,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9623443,"about_ca_topic_score_gemma":0.9786536,"domain_scores_codex":[0.999495,0.00001139173,0.00002725253,0.00002698527,0.0003232125,0.000116021],"domain_scores_gemma":[0.9987417,0.00001747017,0.00007224686,0.0000162644,0.0009700766,0.0001822305],"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":[0.0001258475,0.0001708829,0.1931033,0.0008112611,0.00006110351,0.0001795691,0.001178825,0.0005084809,0.0005392539,0.001048608,0.7611263,0.0411466],"study_design_scores_gemma":[0.00004152137,0.00003002475,0.8271479,0.0003235417,0.0000460248,0.0001274304,0.001921378,0.0004542039,0.0004617436,0.0001353069,0.1692854,0.00002547504],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0618546,0.002116709,0.0002808964,0.001730001,0.0004060996,0.0007693528,0.8790432,0.0002094568,0.05358976],"genre_scores_gemma":[0.1657746,0.01267527,0.002168344,0.001325971,0.0001969778,0.001279699,0.6786643,0.0001004341,0.1378143],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03765571,"threshold_uncertainty_score":0.07575488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02976374908208244,"score_gpt":0.3421726451387611,"score_spread":0.3124088960566787,"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."}}