{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001135372,0.00006778232,0.0001615713,0.00002586295,0.0002847984,0.00004177987,0.00003842499,0.00005125134,0.00000578559],"category_scores_gemma":[0.00006359273,0.00004915741,0.00006352624,0.0000117262,0.00004127719,0.00007315524,0.000009593963,0.00008597779,2.041142e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001329101,"about_ca_system_score_gemma":0.00004439232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004430615,"about_ca_topic_score_gemma":0.0003232118,"domain_scores_codex":[0.9993477,0.00003182059,0.0003579933,0.00005481077,0.0001160742,0.00009154394],"domain_scores_gemma":[0.9993135,0.0001368716,0.0003820251,0.00003308616,0.0001151945,0.0000193048],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002734419,0.00009188538,0.006826497,0.0001941415,0.0002467417,0.000001443711,0.01415607,0.0001642585,0.0003011953,0.9130079,0.005095163,0.05964122],"study_design_scores_gemma":[0.002727781,0.0001443494,0.1196123,0.00006446159,0.0004289331,0.00003722663,0.002730811,0.001205291,0.0001340044,0.8276333,0.04499202,0.0002895493],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886889,0.003838904,0.001628738,0.00359286,0.001087867,0.0003457728,0.00001669632,0.000009667335,0.0007905473],"genre_scores_gemma":[0.9981065,0.0001648576,0.0007427469,0.00004730271,0.0009139212,0.000002584628,0.000001452149,0.000007399135,0.0000132607],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1127858,"threshold_uncertainty_score":0.2190468,"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."}}