{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01649624,0.0001385653,0.0003634638,0.0004236336,0.0007981609,0.0001581324,0.0004602007,0.0001072687,0.002430169],"category_scores_gemma":[0.001530695,0.0001202261,0.00006330055,0.0002957261,0.0001740646,0.001920002,0.0003184316,0.001549348,0.0001367798],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001924707,"about_ca_system_score_gemma":0.006801451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006042578,"about_ca_topic_score_gemma":0.0001491559,"domain_scores_codex":[0.9912747,0.003167026,0.002186685,0.0002695775,0.002306555,0.0007954998],"domain_scores_gemma":[0.9947777,0.001431308,0.001038745,0.0001941906,0.001473302,0.001084701],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00020909,0.0005324187,0.763505,0.0001122676,0.00007608394,0.000009453986,0.003571248,0.000002348863,0.00001959872,0.0005790692,0.008681828,0.2227015],"study_design_scores_gemma":[0.001017763,0.000277389,0.8127712,0.000246457,4.496897e-7,0.00003103871,0.001269964,0.0005086781,0.000006567525,0.0009349837,0.1828565,0.00007894597],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9625899,0.001679859,0.0007611215,0.03029636,0.001057171,0.0003108075,0.001198231,0.0000108598,0.002095711],"genre_scores_gemma":[0.9773271,0.006619266,0.001875445,0.0123661,0.0007060544,0.00001444653,0.0006646127,0.00001429123,0.000412651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2226226,"threshold_uncertainty_score":0.9988291,"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."}}