{"id":"W4312934113","doi":"10.2196/42416","title":"Remote Cognitive Screening Of Healthy Older Adults for Primary Care With the MyCog Mobile App: Iterative Design and Usability Evaluation","year":2022,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Aging","keywords":"Usability; Cognition; Workflow; Primary care; Medicine; Stakeholder; Fidelity; Psychology; Medical education; Family medicine; Computer science; Human–computer interaction; Psychiatry","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":[0.0278822,0.001122579,0.0008549237,0.001281623,0.001074883,0.00197238,0.001542792,0.001088853,0.001496474],"category_scores_gemma":[0.04654603,0.0007521162,0.001430759,0.0005246591,0.001100056,0.001311705,0.002001164,0.0008091407,0.000373235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00129907,"about_ca_system_score_gemma":0.002463239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001170289,"about_ca_topic_score_gemma":0.003036782,"domain_scores_codex":[0.9887053,0.007949972,0.0009659598,0.0007606751,0.00103509,0.0005829601],"domain_scores_gemma":[0.9630204,0.02748394,0.001024481,0.002104954,0.005505095,0.0008611979],"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":[0.007227609,0.02004212,0.09762433,0.01331556,0.000784107,0.002979507,0.1815055,0.009661856,0.04511118,0.002516567,0.006594169,0.6126375],"study_design_scores_gemma":[0.01304277,0.1696079,0.3496798,0.01080824,0.00540257,0.005285062,0.1553326,0.09799955,0.07144211,0.01019103,0.1090195,0.002188954],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9473653,0.0002924336,0.02860067,0.0001871121,0.00003665188,0.02116389,0.0001664045,0.0004580104,0.001729504],"genre_scores_gemma":[0.7011157,0.0005791661,0.2582458,0.0003921428,0.00003232844,0.0378083,0.0003834532,0.0001287457,0.001314387],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0278822,"threshold_uncertainty_score":0.1474569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1314962996977936,"score_gpt":0.5197148148779819,"score_spread":0.3882185151801882,"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."}}