{"id":"W2178719671","doi":"10.1177/2158244014521437","title":"Numeracy and Health Numeracy Among Chinese and Kenyan Immigrants to Canada","year":2014,"lang":"en","type":"article","venue":"SAGE Open","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"School for Public Health Research","keywords":"Numeracy; Literacy; Mandarin Chinese; Health literacy; Self-efficacy; Immigration; Psychology; Mathematics; Developmental psychology; Social psychology; Health care; Geography; Linguistics; Pedagogy","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":[0.0004425202,0.0002920498,0.0002894596,0.001006914,0.002599361,0.0009445804,0.0004035893,0.0003506771,0.001688778],"category_scores_gemma":[0.002515399,0.0001719328,0.0003518176,0.001273337,0.0009312282,0.0003201557,0.0009620305,0.0005934219,0.0001557092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004320403,"about_ca_system_score_gemma":0.006835095,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8852369,"about_ca_topic_score_gemma":0.9390236,"domain_scores_codex":[0.9996461,0.0000284998,0.00002539346,0.00004886328,0.00008658155,0.0001645602],"domain_scores_gemma":[0.9989484,0.0001108891,0.0003046127,0.00003753064,0.0002915936,0.000306979],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005881898,0.00005242126,0.9941199,0.00001029434,0.00001456395,0.00008882993,0.002501456,0.00002061606,0.0002191261,0.00004881266,0.0001161847,0.002749079],"study_design_scores_gemma":[0.000003992608,0.00002008763,0.9964631,0.00001124372,0.000007800019,0.00004613571,0.003141501,0.0000661631,0.00004656394,0.00001714446,0.0001695513,0.000006798057],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994373,0.00005311738,0.000005627559,0.00003573261,0.000001606575,0.00000415023,0.00005213855,4.000591e-7,0.0004099937],"genre_scores_gemma":[0.9993461,0.0001016752,0.00002294632,0.00003295924,0.000001755769,0.000005418703,0.0001165607,8.470676e-7,0.000371744],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1147631,"threshold_uncertainty_score":0.2308779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02810872231302889,"score_gpt":0.4359408617261873,"score_spread":0.4078321394131584,"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."}}