{"id":"W3199950873","doi":"10.2196/26136","title":"Conducting Health Literacy Research With Hard-to-Reach Regional Culturally and Linguistically Diverse Populations: Evaluation Study of Recruitment and Retention Methods Before and During COVID-19","year":2021,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Central Queensland Hospital and Health Service; Central Queensland University; Australian Government","keywords":"Coronavirus disease 2019 (COVID-19); Retention rate; Data collection; Psychology; Health care; Pandemic; Medicine; Intervention (counseling); Medical education; Nursing; Sociology; Political science; Business","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.214225,0.001078987,0.001214611,0.00163859,0.00413319,0.00319367,0.003309304,0.002455034,0.002441698],"category_scores_gemma":[0.2130643,0.001563949,0.0017226,0.001526347,0.002315907,0.002953865,0.003834057,0.001802594,0.0007274498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004986749,"about_ca_system_score_gemma":0.01707862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003754372,"about_ca_topic_score_gemma":0.008662274,"domain_scores_codex":[0.8018879,0.1670897,0.01076291,0.003459929,0.01114765,0.00565197],"domain_scores_gemma":[0.7970219,0.130892,0.02354788,0.01250049,0.02828481,0.007753005],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.01528146,0.08749659,0.1162084,0.00700488,0.0005836428,0.0008763456,0.2173361,0.001124465,0.006514525,0.000764866,0.001824986,0.5449837],"study_design_scores_gemma":[0.01746801,0.4619032,0.2821789,0.004971338,0.001205303,0.000869534,0.191958,0.00386372,0.01732048,0.0007975489,0.01693217,0.000531837],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9448825,0.0004193428,0.004466397,0.0005234099,0.00005125677,0.04675847,0.0001460998,0.00006623181,0.002686449],"genre_scores_gemma":[0.8663471,0.0009476296,0.0399,0.0007712195,0.00008238958,0.09031875,0.0002464112,0.00003506777,0.001351406],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.214225,"threshold_uncertainty_score":0.9690005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7458793167450899,"score_gpt":0.7005127144083341,"score_spread":0.04536660233675582,"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."}}