{"id":"W4242076246","doi":"10.4095/301539","title":"Visible Minority Population, 2001 - South Asian Population by Census Subdivision","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":"Subdivision; Census; Geography; Population; Demography; Sociology; 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":[0.0004442016,0.0008964404,0.0002428375,0.002476135,0.001827653,0.0009785705,0.001233458,0.0003825285,0.006407436],"category_scores_gemma":[0.001170619,0.0002997,0.0004159507,0.00396059,0.0002144039,0.0008058662,0.0008610216,0.0007703757,0.003408422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009746435,"about_ca_system_score_gemma":0.02905728,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9648959,"about_ca_topic_score_gemma":0.9798544,"domain_scores_codex":[0.9995413,0.00001191266,0.00002353281,0.00002616421,0.0002799734,0.0001172171],"domain_scores_gemma":[0.9988809,0.00001704014,0.00006637413,0.00001706481,0.00083801,0.0001806128],"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":[0.0001601456,0.0001850495,0.2393123,0.000762301,0.00006068556,0.0002274529,0.001614819,0.0005497145,0.0006445058,0.001189942,0.7111303,0.04416281],"study_design_scores_gemma":[0.00004106337,0.00003070044,0.8584197,0.0002578791,0.0000407702,0.0001251089,0.002080255,0.000477296,0.0004733751,0.0001303484,0.1379001,0.00002328699],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.0808133,0.001918941,0.0003152131,0.001692044,0.0003107956,0.0007692657,0.8627611,0.0002287992,0.05119051],"genre_scores_gemma":[0.1918776,0.009619934,0.002160331,0.001055373,0.0001521615,0.001126643,0.6682683,0.0000978614,0.1256418],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0351041,"threshold_uncertainty_score":0.07071567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03038342380192335,"score_gpt":0.3419615328516716,"score_spread":0.3115781090497483,"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."}}