{"id":"W2008507630","doi":"10.3390/ijerph10031125","title":"Health Literacy in Rural Areas of China: Hypertension Knowledge Survey","year":2013,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Alberta Innovates; China Medical Board","keywords":"Functional illiteracy; Medicine; Marital status; Rural area; China; Health literacy; Literacy; Educational attainment; Population; Blood pressure; Health education; Environmental health; Gerontology; Demography; Family medicine; Psychology; Health care; Nursing; Geography; Public health; Economic growth; Political science; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01478879,0.0001221689,0.0004430503,0.0007951582,0.000318575,0.00005696608,0.0004331764,0.00009879796,0.001093314],"category_scores_gemma":[0.001146242,0.00009367798,0.00005023071,0.0002907926,0.0002321623,0.001938443,0.0002565955,0.001276564,0.00008597237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00109732,"about_ca_system_score_gemma":0.001864366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006035629,"about_ca_topic_score_gemma":0.0003213134,"domain_scores_codex":[0.9924426,0.003071877,0.002583499,0.0001537102,0.001002289,0.0007460031],"domain_scores_gemma":[0.9961719,0.0010376,0.001105806,0.0001797039,0.0006594635,0.0008455397],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001164126,0.000764669,0.6830315,0.0001625923,0.00001613378,0.000001601431,0.004876603,4.621604e-7,0.0000197768,0.0002088028,0.003864997,0.3069364],"study_design_scores_gemma":[0.001216816,0.0004789229,0.9811101,0.0004007895,2.234981e-7,0.00002072537,0.002165279,0.0005240747,0.000001959525,0.0006543137,0.01336877,0.00005806086],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9758453,0.001684368,0.0001702838,0.02053634,0.0004764709,0.0006085067,0.0001107152,0.000004722439,0.0005633381],"genre_scores_gemma":[0.9933711,0.003941024,0.0003671846,0.001846981,0.0001760556,0.00001850976,0.0000899461,0.00001066674,0.0001784773],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3068784,"threshold_uncertainty_score":0.9998198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1271399790536383,"score_gpt":0.4984661916673092,"score_spread":0.3713262126136709,"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."}}