{"id":"W3004488102","doi":"10.2196/14983","title":"A Cardiology Handbook App to Improve Medical Education for Internal Medicine Residents: Development and Usability Study","year":2020,"lang":"en","type":"article","venue":"JMIR Medical Education","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Indiana University Health","keywords":"Internal medicine; Cardiology; Medical education; Medicine; Modalities; Mobile apps; Usability; Psychology; Computer science; World Wide Web","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":[0.006902943,0.0006621355,0.0005281002,0.0009752826,0.0005181328,0.0008765624,0.0006130881,0.0006323284,0.001396263],"category_scores_gemma":[0.01410045,0.0004303837,0.000697423,0.0003408442,0.0004246356,0.000921816,0.001115099,0.0005137831,0.0003326639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004130776,"about_ca_system_score_gemma":0.001221126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007933197,"about_ca_topic_score_gemma":0.002359957,"domain_scores_codex":[0.9973894,0.001260745,0.0002886564,0.0003149246,0.0005725992,0.0001736734],"domain_scores_gemma":[0.989679,0.00674845,0.0004241065,0.0004389217,0.002277362,0.0004321606],"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":[0.002922072,0.03121691,0.1420006,0.005942705,0.0004934095,0.002973616,0.03954108,0.00188119,0.03641735,0.0004835356,0.01260547,0.7235221],"study_design_scores_gemma":[0.003455543,0.1020241,0.7061054,0.004954723,0.002403031,0.01083273,0.02851271,0.01769131,0.05464129,0.0006088433,0.06812128,0.0006490263],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881425,0.000380995,0.005266993,0.000151844,0.00005303378,0.003743999,0.0002046598,0.0003086463,0.001747356],"genre_scores_gemma":[0.9068497,0.00122661,0.08024967,0.0006130716,0.0000731556,0.005919081,0.0006180972,0.0001571938,0.004293367],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006902943,"threshold_uncertainty_score":0.03650671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04248554745122201,"score_gpt":0.4906046023252026,"score_spread":0.4481190548739806,"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."}}