{"id":"W2736868680","doi":"10.4103/1357-6283.210517","title":"Assessing reading levels of health information: uses and limitations of flesch formula","year":2017,"lang":"en","type":"article","venue":"Education for Health","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":258,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Readability; Legibility; Health literacy; Reading (process); Comprehension; Health care; Reading comprehension; Psychology; Computer science; Medicine; Medical education; Linguistics","routes":{"ca_aff":true,"ca_fund":false,"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":["sts"],"consensus_categories":[],"category_scores_codex":[0.005103706,0.0001213863,0.0004443125,0.0002391167,0.003048607,0.00007513825,0.0002130327,0.0001067991,0.00003752163],"category_scores_gemma":[0.004102559,0.0001134607,0.00005057599,0.0001255568,0.00009683931,0.005430753,0.00006178416,0.0002382275,0.000009219862],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002496805,"about_ca_system_score_gemma":0.007341436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000803171,"about_ca_topic_score_gemma":0.00008879587,"domain_scores_codex":[0.9961534,0.0003290653,0.002771371,0.0001411083,0.0002137193,0.0003913096],"domain_scores_gemma":[0.9922342,0.0009968028,0.004993484,0.0005654514,0.0009823452,0.0002276775],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00003361436,0.0001292193,0.06430992,0.009492661,0.00001185633,2.666736e-9,0.03818872,0.000003615481,0.000006638229,0.06199565,0.00900224,0.8168259],"study_design_scores_gemma":[0.0008186019,0.0001565655,0.7851174,0.001329729,0.000006029026,8.382613e-7,0.0181649,0.0006718509,0.00003501286,0.003319759,0.1902525,0.0001268735],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7307377,0.001255285,0.1285781,0.08159556,0.006057546,0.009697288,0.0009073706,0.0001783526,0.04099279],"genre_scores_gemma":[0.9641268,0.0002536441,0.02934923,0.005631332,0.0001168605,0.0001672631,0.0001551396,0.00001030093,0.0001894548],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.816699,"threshold_uncertainty_score":0.998286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.341301834361429,"score_gpt":0.5722076657189511,"score_spread":0.2309058313575221,"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."}}