{"id":"W4239006319","doi":"10.4095/301552","title":"Visible Minority Population, 2006 - Latin American 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; Latin Americans; Population; Geography; Division (mathematics); Genealogy; Demography; Political science; History; Sociology; Mathematics; Law","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":[0.000297525,0.0006940895,0.0002749586,0.002383574,0.0006370813,0.0009321291,0.0006675231,0.0002578004,0.01584291],"category_scores_gemma":[0.001008651,0.0001687522,0.0003773732,0.003904426,0.0001221343,0.0007870608,0.0006712551,0.0006115629,0.01071834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001475779,"about_ca_system_score_gemma":0.003215011,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2753583,"about_ca_topic_score_gemma":0.279051,"domain_scores_codex":[0.9997284,0.00001606895,0.00002140677,0.0000252118,0.0001535504,0.00005531501],"domain_scores_gemma":[0.9995808,0.00001316331,0.00006776917,0.00001050668,0.0002710487,0.0000565878],"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":[0.00008516552,0.0001001656,0.05889908,0.0007370121,0.00004579694,0.0001162722,0.0006503303,0.0002145805,0.0004778563,0.001608621,0.8912029,0.04586218],"study_design_scores_gemma":[0.00005312576,0.00003861942,0.4332477,0.0004420331,0.00003186481,0.0002220366,0.001823495,0.0003606318,0.0003657405,0.0002555232,0.5631389,0.00002037621],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.04266335,0.003229354,0.0004222849,0.001371806,0.000665852,0.0006002886,0.8220768,0.0004889601,0.1284813],"genre_scores_gemma":[0.09651553,0.01377544,0.002632227,0.001353699,0.0003007578,0.002088183,0.7428911,0.0002204733,0.1402226],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7246417,"threshold_uncertainty_score":0.5475111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02140351468228447,"score_gpt":0.3423377011369567,"score_spread":0.3209341864546723,"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."}}