{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001185951,0.0002332059,0.0002921626,0.004118369,0.002811709,0.001439465,0.0008394292,0.0001559159,0.002717192],"category_scores_gemma":[0.004683634,0.0001420781,0.0004029344,0.0101711,0.0007067429,0.0007198019,0.001667427,0.0005370926,0.0001505974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02053563,"about_ca_system_score_gemma":0.02783993,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9963812,"about_ca_topic_score_gemma":0.9978898,"domain_scores_codex":[0.9989813,0.0001135253,0.00004722958,0.0001008963,0.0003739224,0.0003830589],"domain_scores_gemma":[0.998408,0.0002142517,0.0003003151,0.0001196281,0.0007731837,0.0001846318],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007871188,0.00002072099,0.9282174,0.0001065302,0.0001047697,0.0001303958,0.01590755,0.001103129,0.0002585702,0.009505266,0.006994414,0.03757253],"study_design_scores_gemma":[0.000002734316,0.000005124341,0.9760933,0.00006456216,0.00002092058,0.00003824536,0.008721912,0.000908747,0.0001080065,0.0004122019,0.01360343,0.0000207412],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9473467,0.002117961,0.001582269,0.001469607,0.00004847098,0.0001282679,0.02022536,0.0000371394,0.02704429],"genre_scores_gemma":[0.9899866,0.001134106,0.001202011,0.00005421937,0.000007991852,0.0000461562,0.004360388,0.00001461166,0.003193825],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02053563,"threshold_uncertainty_score":0.1489971,"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."}}