{"id":"W1903417665","doi":"10.25336/p6hk75","title":"Intra-Generational Ethnic Flows: Ethnic Mobility in the Canadian Census","year":2009,"lang":"en","type":"article","venue":"Canadian Studies in Population","topic":"Romani and Gypsy Studies","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Census; Ethnic group; Population; Geography; Demographic economics; Demography; Sociology; Economics; Anthropology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001444339,0.0001845089,0.0002928335,0.0004139204,0.001289638,0.00000873426,0.0001913634,0.0002221519,0.00004917288],"category_scores_gemma":[0.0008378091,0.0001500208,0.00004257132,0.0007912475,0.0000729208,0.000113203,0.00001812808,0.0006808967,0.00004013992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003343837,"about_ca_system_score_gemma":0.0006938379,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9121907,"about_ca_topic_score_gemma":0.9999024,"domain_scores_codex":[0.997471,0.0005953943,0.0005990317,0.0003141575,0.0002187617,0.0008016912],"domain_scores_gemma":[0.9989259,0.0003191791,0.00008387937,0.0003127768,0.0001495289,0.0002087636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003688743,0.00008399994,0.77268,0.0001340374,0.00008391595,0.0001397608,0.08728821,0.001673777,0.00001111117,0.03611384,0.07040747,0.03134695],"study_design_scores_gemma":[0.0003172622,0.00002818336,0.9791186,0.00008069367,0.000009239395,0.00000126464,0.008728329,0.0002530705,2.026941e-7,0.005779937,0.005529466,0.0001537896],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9605328,0.00639117,0.000001334387,0.01835232,0.001382628,0.001330509,0.0001010665,0.00002585984,0.01188229],"genre_scores_gemma":[0.9918764,0.0002718351,0.00008288182,0.00689071,0.0003620498,0.0001750805,0.000150123,0.000009892464,0.00018107],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2064385,"threshold_uncertainty_score":0.9918984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2734526295194281,"score_gpt":0.487917449852817,"score_spread":0.214464820333389,"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."}}