{"id":"W4377941021","doi":"10.2196/42666","title":"Factors Associated With Limited Cancer Health Literacy Among Chinese People: Cross-sectional Survey Study","year":2023,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health literacy; Literacy; Medicine; Numeracy; Cancer; Logistic regression; Environmental health; Health Information National Trends Survey; Cancer screening; Health education; Gerontology; Psychology; Family medicine; Public health; Health care; Nursing; Health information; Political science; Internal medicine","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":[0.001155902,0.0002735615,0.0003967677,0.0009914729,0.0007524213,0.0005359823,0.000333863,0.0005062046,0.001452387],"category_scores_gemma":[0.00222465,0.0004028263,0.0005247914,0.001603351,0.0003813088,0.0006255932,0.000541399,0.0006990373,0.0002126214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007632814,"about_ca_system_score_gemma":0.001320447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0346404,"about_ca_topic_score_gemma":0.03808594,"domain_scores_codex":[0.9994149,0.00009977006,0.0001021392,0.0001129638,0.0001515865,0.0001187516],"domain_scores_gemma":[0.9987925,0.0001646944,0.0004080406,0.00009335231,0.0002269574,0.0003143857],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001239087,0.00003355635,0.9990589,0.00001631541,0.00002124499,0.00003755334,0.0002391961,0.00001043065,0.00006534726,0.000009718896,0.00008436788,0.000411148],"study_design_scores_gemma":[0.000003470315,0.0000594671,0.9991087,0.000007772494,0.00001901212,0.00006109379,0.0004886417,0.0001038754,0.00002081597,0.00001128858,0.0001123317,0.000003396986],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987878,0.0001008766,0.00005459325,0.00009222153,0.00000472817,0.00004710556,0.0005599168,0.000002706424,0.0003500078],"genre_scores_gemma":[0.9990956,0.00009608665,0.00009000391,0.00009713587,0.000006827147,0.0000498365,0.0004242743,9.539609e-7,0.0001394069],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0346404,"threshold_uncertainty_score":0.06887752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2811209347354136,"score_gpt":0.6160214166063402,"score_spread":0.3349004818709266,"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."}}