{"id":"W1720462440","doi":"10.3233/jem-2006-0279","title":"Rethinking US Census racial and ethnic categories for the 21st century","year":2006,"lang":"en","type":"article","venue":"Journal of Economic and Social Measurement","topic":"Census and Population Estimation","field":"Mathematics","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Census; Ethnic group; Immigration; Race (biology); Population; Demography; Geography; Sociology; Gender studies; Anthropology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04374056,0.0005742361,0.0005785564,0.005431941,0.003145435,0.004542223,0.00253961,0.0008960591,0.004034409],"category_scores_gemma":[0.1191316,0.0004626344,0.0006922075,0.01358951,0.002790647,0.005571542,0.003755819,0.003937004,0.001079364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004629195,"about_ca_system_score_gemma":0.008668534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.132649,"about_ca_topic_score_gemma":0.1862158,"domain_scores_codex":[0.9697368,0.01924104,0.003804106,0.00164548,0.004738182,0.0008344737],"domain_scores_gemma":[0.9547634,0.01535686,0.004870946,0.006430028,0.01715115,0.001427703],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001287493,0.00010367,0.1549995,0.0006194864,0.00009527815,0.00009650621,0.02044772,0.001653275,0.000839385,0.2883926,0.205785,0.3268388],"study_design_scores_gemma":[0.00004475985,0.0001159882,0.1741539,0.002006272,0.00006145887,0.0002032663,0.02708914,0.004768007,0.001101034,0.07337718,0.7169118,0.0001672087],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2738164,0.01947822,0.2942507,0.246373,0.03367182,0.002011698,0.03374587,0.001326893,0.09532548],"genre_scores_gemma":[0.5911438,0.007904164,0.3155942,0.04759391,0.003224772,0.003801669,0.01702106,0.0008663822,0.01285001],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.132649,"threshold_uncertainty_score":0.263754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1532434053830708,"score_gpt":0.3298623235153227,"score_spread":0.176618918132252,"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."}}