{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00322372,0.000184594,0.0004252089,0.00006436513,0.001417779,0.0001093925,0.0003469659,0.00007989175,0.0004703394],"category_scores_gemma":[0.0005047317,0.0001415646,0.00001423691,0.0002442028,0.00002927111,0.001175537,0.0005059937,0.0004459123,0.00005637265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001763025,"about_ca_system_score_gemma":0.001068065,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8902573,"about_ca_topic_score_gemma":0.8691564,"domain_scores_codex":[0.9971709,0.00058757,0.001108155,0.0003359169,0.0002113139,0.0005861066],"domain_scores_gemma":[0.9979487,0.0003104772,0.0003849184,0.000444345,0.0001048812,0.0008066494],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003883121,0.00001483461,0.8439875,0.0003681957,0.000004865912,5.930796e-7,0.007742472,8.126e-7,0.000001359088,0.0001339517,0.01015705,0.1375495],"study_design_scores_gemma":[0.0007411122,0.00004341412,0.8408419,0.0002400164,0.000001636326,8.931075e-7,0.000826249,0.0005888116,9.700401e-7,0.0002086451,0.156368,0.0001382902],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9724572,0.0001492282,0.0005148413,0.01353677,0.000460411,0.002376964,0.00007013091,0.00003584844,0.01039861],"genre_scores_gemma":[0.9339228,0.00005667493,0.001178112,0.06257874,0.0001272955,0.000131397,0.00003904888,0.00001661119,0.001949299],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.146211,"threshold_uncertainty_score":0.9998822,"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."}}