{"id":"W3093271851","doi":"10.2196/20099","title":"eHealth Literacy of German Physicians in the Pre–COVID-19 Era: Questionnaire Study","year":2020,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"eHealth; German; Coronavirus disease 2019 (COVID-19); Health literacy; 2019-20 coronavirus outbreak; Medicine; Telemedicine; Literacy; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Psychology; Medical education; Family medicine; Health care; Disease; Political science; Virology; History; Pedagogy","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":[0.001464095,0.0002036457,0.0003178759,0.001295342,0.0004726505,0.0006876116,0.0002715114,0.0005943445,0.001718293],"category_scores_gemma":[0.003374521,0.0002922066,0.0003274485,0.001136743,0.0005995107,0.0007073201,0.0006762613,0.0005795971,0.0003912637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008839466,"about_ca_system_score_gemma":0.0007005793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007761517,"about_ca_topic_score_gemma":0.009228464,"domain_scores_codex":[0.9991792,0.0001861349,0.0001258491,0.00009546752,0.0001815173,0.0002317474],"domain_scores_gemma":[0.9973962,0.0005851794,0.001008298,0.00007656006,0.0003253692,0.0006083256],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006020678,0.000233625,0.9854059,0.00009230821,0.00002543802,0.0002645995,0.008072355,0.00003647058,0.0003582004,0.0000595502,0.0005850135,0.004806375],"study_design_scores_gemma":[0.00000921701,0.0002568256,0.9916596,0.00002531493,0.00000844746,0.0002450617,0.006708479,0.00008151677,0.00007842787,0.000009772627,0.0009100365,0.000007321154],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992905,0.0001052576,0.00002144929,0.0001216284,0.000003038311,0.00002296084,0.0001533945,0.0000013928,0.0002802571],"genre_scores_gemma":[0.9991795,0.000170559,0.00008592731,0.0001626554,0.000005347694,0.00003770545,0.0001587698,0.000001085393,0.0001984416],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007761517,"threshold_uncertainty_score":0.01543266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08300571496572755,"score_gpt":0.5152705726801412,"score_spread":0.4322648577144136,"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."}}