{"id":"W4255056249","doi":"10.4095/301553","title":"Visible Minority Population, 2006 - Latin American 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":"Census; Latin Americans; Subdivision; Geography; Population; American Community Survey; Genealogy; Demography; Political science; History; 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":[0.0003051432,0.0006884496,0.0002745735,0.002344167,0.0006497688,0.0008580094,0.0007385556,0.0002504347,0.01339063],"category_scores_gemma":[0.001002098,0.0001746491,0.0004054609,0.003541766,0.000120344,0.0007416603,0.0007632512,0.0005608075,0.008658123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001525697,"about_ca_system_score_gemma":0.003213969,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3411644,"about_ca_topic_score_gemma":0.3412254,"domain_scores_codex":[0.9997445,0.00001600633,0.00001918478,0.00002424643,0.0001389517,0.0000570778],"domain_scores_gemma":[0.9995882,0.00001280365,0.00006364714,0.00001188721,0.0002661854,0.00005732897],"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":[0.0001262986,0.0001408696,0.1045828,0.0008099511,0.00006287051,0.0001696806,0.00104283,0.0003458686,0.0006983121,0.002032064,0.8357754,0.05421305],"study_design_scores_gemma":[0.00005247964,0.0000446029,0.5592378,0.0003755639,0.00003332655,0.0002251726,0.002109192,0.0004466039,0.0003988477,0.0002547601,0.4368004,0.00002116107],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.06388903,0.002583456,0.0004393703,0.001185323,0.0004729441,0.000602406,0.8095112,0.0005348799,0.1207815],"genre_scores_gemma":[0.1196747,0.009544983,0.002690143,0.0009178883,0.0002093269,0.001716148,0.7425854,0.0002079393,0.1224534],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6588356,"threshold_uncertainty_score":0.6783571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02183936405730206,"score_gpt":0.3421352585427077,"score_spread":0.3202958944854056,"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."}}