{"id":"W3196456535","doi":"10.2196/29175","title":"Predicting Health Material Accessibility: Development of Machine Learning Algorithms","year":2021,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Jargon; Readability; Computer science; Artificial intelligence; Machine learning; Natural language processing","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":[0.00523707,0.001514639,0.001350796,0.003184903,0.0005667868,0.001608339,0.001584724,0.001918339,0.001616552],"category_scores_gemma":[0.0180288,0.0004328305,0.001244782,0.00184608,0.0004912222,0.001536321,0.0009697376,0.002784937,0.0007583307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001205683,"about_ca_system_score_gemma":0.001243033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00588272,"about_ca_topic_score_gemma":0.002727889,"domain_scores_codex":[0.9982123,0.0007466,0.0002206592,0.0004288995,0.0002728438,0.0001187518],"domain_scores_gemma":[0.9825222,0.01429884,0.0006746081,0.0003664961,0.00194717,0.0001905283],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002807627,0.0007120263,0.03125045,0.0002438488,0.0003289769,0.0001210607,0.0001239357,0.5587072,0.001004272,0.00209656,0.004629769,0.4005011],"study_design_scores_gemma":[0.000007887456,0.00004576708,0.001088462,0.00002487335,0.00001595557,0.0000181234,0.00002230056,0.9963007,0.000334496,0.001875276,0.0002587245,0.000007429923],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1541076,0.002861943,0.8338267,0.001599262,0.0002218172,0.0005481549,0.00112106,0.002266255,0.003447347],"genre_scores_gemma":[0.611318,0.0008412445,0.3834875,0.0003657329,0.0002055791,0.0008011427,0.001656289,0.00008455147,0.001240059],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00588272,"threshold_uncertainty_score":0.02769661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05517007514389787,"score_gpt":0.4516533809137142,"score_spread":0.3964833057698163,"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."}}