{"id":"W4295564768","doi":"10.3389/fpubh.2022.998272","title":"Adapted digital health literacy and health information seeking behavior among lower income groups in Malaysia during the COVID-19 pandemic","year":2022,"lang":"en","type":"article","venue":"Frontiers in Public Health","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Marital status; Misinformation; Health literacy; Psychology; Data collection; Household income; Information seeking behavior; Multivariate analysis; Environmental health; Test (biology); Pandemic; Demography; Gerontology; Medicine; Health care; Information seeking; Coronavirus disease 2019 (COVID-19); Geography; Statistics; Population; Computer science; Mathematics; Sociology; Disease; Economics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005857543,0.0002376811,0.0002541273,0.0007021955,0.0006199163,0.0008819574,0.0002605658,0.0004279024,0.002258931],"category_scores_gemma":[0.001756726,0.0002530106,0.0004139281,0.0005558482,0.0003533412,0.0007089796,0.0006995982,0.0008186541,0.0002722574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005034172,"about_ca_system_score_gemma":0.0006272036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0157815,"about_ca_topic_score_gemma":0.02307313,"domain_scores_codex":[0.9996573,0.00007717682,0.00004238752,0.00004243954,0.00005004068,0.0001306465],"domain_scores_gemma":[0.9990783,0.000113569,0.0004351219,0.00002873845,0.0001189221,0.0002253855],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003704205,0.0001059166,0.9956211,0.00003417773,0.00001310728,0.0001018336,0.001910807,0.00001742089,0.0001314714,0.00002025367,0.0001239704,0.001882774],"study_design_scores_gemma":[0.000001743718,0.0001421912,0.9945023,0.00005086419,0.00001038409,0.0001483459,0.004717632,0.0001008887,0.00004904417,0.00001925731,0.0002508071,0.000006492152],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991265,0.00009802051,0.00001652887,0.00008375908,0.000003261417,0.00001575802,0.0001663744,8.238104e-7,0.0004890931],"genre_scores_gemma":[0.9994619,0.00009206129,0.00003604319,0.00004432007,0.000002662719,0.00001251674,0.00009653951,6.32594e-7,0.000253245],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0157815,"threshold_uncertainty_score":0.03137928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02909989549063909,"score_gpt":0.3149310215394366,"score_spread":0.2858311260487976,"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."}}