{"id":"W3165620961","doi":"10.3390/ijerph18115813","title":"Malaysian Health Literacy: Scorecard Performance from a National Survey","year":2021,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health literacy; Literacy; Stratified sampling; Population; Medicine; Health promotion; Quarter (Canadian coin); Gerontology; Balanced scorecard; Environmental health; Health care; Psychology; Public health; Nursing; Geography; Business; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001856485,0.0005353247,0.0004946435,0.001953368,0.0002894392,0.0006690906,0.0004861353,0.0004218722,0.00274409],"category_scores_gemma":[0.004885035,0.0002176561,0.0006882442,0.001988464,0.0001882257,0.0006565149,0.00095596,0.0006210444,0.001603967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001020218,"about_ca_system_score_gemma":0.0009686453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006891938,"about_ca_topic_score_gemma":0.0109689,"domain_scores_codex":[0.9978486,0.0005630571,0.0005275895,0.0002007261,0.0006636925,0.0001963549],"domain_scores_gemma":[0.9983524,0.0001510523,0.0006838892,0.00008906277,0.000555187,0.0001684868],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000286016,0.0003660483,0.9352352,0.0002918764,0.0001724875,0.0000690471,0.0002829719,0.0006775802,0.0004785835,0.0002235601,0.01205248,0.04986422],"study_design_scores_gemma":[0.00002136834,0.0001917054,0.9928927,0.00005607644,0.00002985754,0.0001188848,0.00017705,0.0008277755,0.0002991675,0.00008781503,0.005283237,0.00001444917],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9012992,0.0009259876,0.002994773,0.0009822015,0.0001545868,0.001954059,0.06266627,0.0002105884,0.02881226],"genre_scores_gemma":[0.9312904,0.00111548,0.01037148,0.0003652572,0.00006198632,0.002553618,0.04756239,0.00003820448,0.006641106],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006891938,"threshold_uncertainty_score":0.01370364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2120422456341727,"score_gpt":0.5265612973513116,"score_spread":0.3145190517171389,"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."}}