{"id":"W3159167979","doi":"10.2196/25054","title":"Impact of an Educational Comic to Enhance Patient-Physician–Electronic Health Record Engagement: Prospective Observational Study","year":2021,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; Bucksbaum Institute for Clinical Excellence; University of Chicago; Arnold P. Gold Foundation","keywords":"Comics; Observational study; Medicine; Family medicine; Electronic health record; Educational attainment; Health care; 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":[0.005153784,0.0003759606,0.000493906,0.0006007138,0.001229022,0.001113648,0.0006647881,0.001113207,0.002074672],"category_scores_gemma":[0.01605566,0.0005874287,0.001064309,0.0009535504,0.0004391749,0.001095378,0.001149538,0.002042168,0.0003946146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001142715,"about_ca_system_score_gemma":0.0027017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005733421,"about_ca_topic_score_gemma":0.009953644,"domain_scores_codex":[0.9958673,0.002165414,0.0004842753,0.0004307655,0.0005506552,0.0005016733],"domain_scores_gemma":[0.9868486,0.003953885,0.004892148,0.0007573938,0.001216438,0.002331625],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001473988,0.01330217,0.9663617,0.0002803629,0.0004217067,0.0001212248,0.001933236,0.00007944548,0.0002021355,0.00005999485,0.001136455,0.01462759],"study_design_scores_gemma":[0.0006854164,0.01258525,0.9810641,0.0002151018,0.0003501572,0.0001887582,0.002647586,0.0004981192,0.0001794484,0.0000485447,0.001503317,0.00003433708],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998495,0.000220896,0.0001013359,0.0001267146,0.00001297235,0.0002524579,0.0002737393,0.000005281493,0.0005116225],"genre_scores_gemma":[0.9978518,0.0002252716,0.0006898108,0.0002479292,0.00003498129,0.0004157846,0.0003441165,0.000004683395,0.0001855584],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005733421,"threshold_uncertainty_score":0.02725619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1152854598264511,"score_gpt":0.5355323455911265,"score_spread":0.4202468857646754,"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."}}