{"id":"W4224220597","doi":"10.32920/ihtp.v2i1.1509","title":"COVID-19 Health Literacy Scale Development","year":2022,"lang":"en","type":"article","venue":"International Health Trends and Perspectives","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Health literacy; Scale (ratio); Reliability (semiconductor); Internal consistency; Psychology; 2019-20 coronavirus outbreak; Variance (accounting); Literacy; Clinical psychology; Medical education; Applied psychology; Psychometrics; Medicine; Health care; Geography; Pedagogy; Cartography; Outbreak","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":[],"consensus_categories":[],"category_scores_codex":[0.002256692,0.0003649908,0.0005988312,0.002004687,0.0004437355,0.0007350129,0.0007366338,0.0004613168,0.006339198],"category_scores_gemma":[0.007494106,0.0002340454,0.0009789724,0.0008837041,0.0002637925,0.000712392,0.001557114,0.001175639,0.001270161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001135493,"about_ca_system_score_gemma":0.001869526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001683302,"about_ca_topic_score_gemma":0.003134827,"domain_scores_codex":[0.9980794,0.0004286381,0.0004970646,0.000142667,0.0006188238,0.0002333945],"domain_scores_gemma":[0.9963629,0.000624639,0.0008532918,0.0001416333,0.001551769,0.0004657833],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004383506,0.001350845,0.7696768,0.001001213,0.0001619871,0.0003254138,0.001524331,0.0006920606,0.002074396,0.001472405,0.02277832,0.1985039],"study_design_scores_gemma":[0.0001111714,0.0007750293,0.9664342,0.000394742,0.0000723856,0.000755969,0.001222267,0.001140219,0.0009435497,0.0006843126,0.02742047,0.0000457565],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9214826,0.00145782,0.006227494,0.001645424,0.0002879502,0.009145691,0.0168227,0.0002378706,0.04269253],"genre_scores_gemma":[0.9176337,0.001287252,0.03962211,0.0006590078,0.0001027783,0.01124889,0.02170797,0.00004150117,0.007696705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006339198,"threshold_uncertainty_score":0.02120674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09372187608935308,"score_gpt":0.5125793327514009,"score_spread":0.4188574566620478,"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."}}