{"id":"W2989729635","doi":"10.1016/j.ssresearch.2019.102388","title":"Churning races in Canada: Visible minority response change between 2006 and 2011","year":2019,"lang":"en","type":"article","venue":"Social Science Research","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Statistics Canada","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development","keywords":"Race (biology); Ethnic group; Churning; Immigration; Census; White (mutation); Demography; Demographic economics; Social psychology; Geography; Psychology; Sociology; Gender studies; Economics; Population","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.000986894,0.0002699088,0.0004319754,0.001340353,0.006600487,0.002773497,0.002047802,0.001552339,0.004139563],"category_scores_gemma":[0.003529493,0.0002792051,0.0004756076,0.003269267,0.001543359,0.001132102,0.0028181,0.002888598,0.0003762337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04464376,"about_ca_system_score_gemma":0.08382666,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9954905,"about_ca_topic_score_gemma":0.9985291,"domain_scores_codex":[0.9981155,0.0001207085,0.00005046672,0.0001604452,0.0003844657,0.001168418],"domain_scores_gemma":[0.9953853,0.0001732623,0.0006861669,0.00008627248,0.001797671,0.001871282],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004664974,0.0002460877,0.8907474,0.0001513124,0.0000952991,0.0002329674,0.03232076,0.0002448942,0.0004483007,0.001383333,0.02728714,0.04637599],"study_design_scores_gemma":[0.000007780689,0.00003010247,0.9465633,0.0000975616,0.0000190013,0.00003983688,0.04062817,0.0001817168,0.0001419286,0.0001024805,0.01215873,0.0000292942],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9797076,0.001256898,0.000165418,0.0093356,0.0002176146,0.0000513364,0.003682313,0.00002617664,0.005557108],"genre_scores_gemma":[0.9899204,0.0006082913,0.0001909616,0.001104899,0.0000410938,0.00003576197,0.001082731,0.00001677121,0.006999197],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04464376,"threshold_uncertainty_score":0.3239146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1601333652453357,"score_gpt":0.4672167019761481,"score_spread":0.3070833367308124,"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."}}