{"id":"W3199701386","doi":"10.2196/30603","title":"Cocreation of Massive Open Online Courses to Improve Digital Health Literacy in Diabetes: Pilot Mixed Methods Study","year":2021,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Commission","keywords":"Health literacy; Digital health; Medical education; Information literacy; Focus group; Literacy; Health care; Medicine; Psychology; Pedagogy; Political science; Sociology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003789351,0.0002636636,0.0009411106,0.000283396,0.0003523959,0.0001532587,0.0005055427,0.0001169876,0.0003221301],"category_scores_gemma":[0.002282052,0.0002313691,0.0000650625,0.001078124,0.00004362647,0.002543896,0.000719485,0.0005952416,0.00006584407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003526019,"about_ca_system_score_gemma":0.001343078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001714123,"about_ca_topic_score_gemma":0.0001834551,"domain_scores_codex":[0.9929648,0.002504396,0.002828197,0.0005290941,0.0003305176,0.000842964],"domain_scores_gemma":[0.9947265,0.002086132,0.001092531,0.0007579123,0.0009475372,0.000389392],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008056834,0.002310627,0.7889822,0.001248217,0.00003239288,7.464444e-7,0.0137564,0.000008924355,0.0003185966,0.0001193766,0.001719588,0.1914224],"study_design_scores_gemma":[0.002881693,0.001722489,0.9586771,0.001197094,0.00001101746,4.969951e-8,0.01713526,0.002307271,0.0008180094,0.0005050235,0.01443552,0.0003094878],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888673,0.0001741646,0.0003055619,0.002715921,0.0006539178,0.005483074,0.0007997151,0.00006235699,0.0009380285],"genre_scores_gemma":[0.9763689,0.00001138961,0.01376463,0.006922016,0.0001286798,0.00154664,0.0006372798,0.00003060076,0.0005898829],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1911129,"threshold_uncertainty_score":0.9434958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06542310189090285,"score_gpt":0.5362263105711025,"score_spread":0.4708032086801996,"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."}}