{"id":"W2791793163","doi":"10.1111/jocn.14281","title":"Ethnocultural influences in how people prefer to obtain and receive health information","year":2018,"lang":"en","type":"article","venue":"Journal of Clinical Nursing","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"University of Calgary","keywords":"Focus group; Jargon; Ethnic group; Health care; Health equity; Limited English proficiency; Language barrier; Population; Interpreter; Immigration; Medicine; Cultural diversity; Nursing; Psychology; Family medicine; Public health; Political science; Sociology; Environmental health","routes":{"ca_aff":true,"ca_fund":true,"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":[0.006492623,0.0003042702,0.0003130883,0.0009659906,0.005292277,0.004482284,0.0004755449,0.0006972107,0.003471469],"category_scores_gemma":[0.01172831,0.0003109613,0.0003745851,0.0008153023,0.005269963,0.001781297,0.002780027,0.001146956,0.0002021294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002404492,"about_ca_system_score_gemma":0.004023013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1013936,"about_ca_topic_score_gemma":0.1194851,"domain_scores_codex":[0.9954044,0.003061563,0.0002156457,0.0002275562,0.0005046265,0.0005861937],"domain_scores_gemma":[0.9927031,0.004648878,0.0007322249,0.0002208684,0.0007686242,0.0009264536],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00007360218,0.00005037666,0.05193992,0.0001338288,0.00003260475,0.0005849178,0.9390085,0.00001839382,0.0004922678,0.0006413057,0.0003720165,0.006652359],"study_design_scores_gemma":[0.00001071011,0.00004240635,0.03339827,0.000234379,0.00002898032,0.0002665705,0.9617283,0.00005081105,0.0001390321,0.0004025844,0.003676204,0.00002166001],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905801,0.0007238959,0.0002625651,0.001218034,0.00003341545,0.00003405113,0.00003480806,0.000005121025,0.007108009],"genre_scores_gemma":[0.9978814,0.0005718969,0.0002170608,0.0005705461,0.000008975467,0.00001680121,0.00001821212,0.000005594769,0.0007096358],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1013936,"threshold_uncertainty_score":0.2016068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.125434350390041,"score_gpt":0.5735667878066428,"score_spread":0.4481324374166018,"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."}}