{"id":"W4205315127","doi":"10.1186/s12889-021-12271-w","title":"Relation of corona-specific health literacy to use of and trust in information sources during the COVID-19 pandemic","year":2022,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Care Foundation","funders":"","keywords":"Health literacy; Pandemic; Medicine; Public health; Biostatistics; Population; Literacy; Environmental health; Coronavirus disease 2019 (COVID-19); Health care; Psychology; Nursing; Disease; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.01299054,0.0001390433,0.000429237,0.0006426193,0.00163538,0.00004251868,0.0002532392,0.00008198725,0.0003593256],"category_scores_gemma":[0.00173495,0.0001127091,0.00004108545,0.001169438,0.00006754395,0.002733898,0.0002853615,0.0008022111,0.000009875101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001838112,"about_ca_system_score_gemma":0.004929837,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007197158,"about_ca_topic_score_gemma":0.0007642773,"domain_scores_codex":[0.9915932,0.003338967,0.003645252,0.0002156657,0.0005473815,0.0006595029],"domain_scores_gemma":[0.9951596,0.001399899,0.002146989,0.0004861574,0.000220288,0.000587073],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001541928,0.00004993028,0.8827434,0.002474064,0.000002180591,3.858995e-8,0.09239372,0.0005971687,9.404117e-7,0.002681654,0.001565623,0.01733705],"study_design_scores_gemma":[0.0007527323,0.00009764207,0.6357299,0.00005113916,3.459875e-7,0.000003261841,0.00559212,0.002424923,8.027675e-8,0.00005064711,0.3552389,0.00005831296],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9725196,0.000280565,0.009548722,0.0145268,0.0002756502,0.002425412,0.0002635099,0.00006609137,0.00009368148],"genre_scores_gemma":[0.9722106,0.0002824038,0.001574531,0.02531013,0.00003429052,0.0002874211,0.0001894021,0.00001001275,0.0001011643],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3536732,"threshold_uncertainty_score":0.9996644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.18516667631082,"score_gpt":0.4526040399263179,"score_spread":0.267437363615498,"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."}}