{"id":"W4367312949","doi":"10.2196/43348","title":"Functional Health Literacy Among Chinese Populations and Associated Factors: Latent Class Analysis","year":2023,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health literacy; Medicine; Literacy; Public health; Likert scale; Population; Psychology; Gerontology; Family medicine; Health care; Environmental health; Developmental psychology; Nursing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.003375481,0.0004476441,0.0004962509,0.002362344,0.001276528,0.001294538,0.0005280519,0.0004861634,0.003187857],"category_scores_gemma":[0.004902788,0.000230349,0.001551993,0.002173159,0.0009875223,0.0005928043,0.001133988,0.0008045255,0.0001874659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001251789,"about_ca_system_score_gemma":0.001870941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02849406,"about_ca_topic_score_gemma":0.0165762,"domain_scores_codex":[0.9989047,0.0002905837,0.0001050451,0.0002091099,0.0002153849,0.0002751863],"domain_scores_gemma":[0.9978487,0.0007258246,0.000595221,0.0003002213,0.0002214664,0.0003084775],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005970373,0.000067017,0.9961661,0.00001256017,0.00009898428,0.00005239882,0.0004105092,0.0001786975,0.0000780112,0.0002328966,0.0001640834,0.002478998],"study_design_scores_gemma":[0.00001383326,0.00005055721,0.9938523,0.00002073505,0.00007448195,0.00005042489,0.0006042516,0.004553355,0.00005810815,0.000506805,0.0002048718,0.00001034095],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981305,0.00008232852,0.0005600021,0.0001763755,0.000006869459,0.00005379058,0.0003906204,0.000006888602,0.0005926376],"genre_scores_gemma":[0.9992118,0.00003635166,0.0002102638,0.00002063418,0.000007575652,0.00005567956,0.0003590037,0.000002094846,0.0000966408],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02849406,"threshold_uncertainty_score":0.05665642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2044128145953389,"score_gpt":0.571559610401718,"score_spread":0.3671467958063791,"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."}}