{"id":"W4405850165","doi":"10.2196/58266","title":"App- and Wearable-Based Remote Monitoring for Patients With Myasthenia Gravis and Its Specialists: Feasibility and Usability Study","year":2024,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Myasthenia Gravis and Thymoma","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Preprint; Usability; Myasthenia gravis; Wearable computer; Medicine; Wearable technology; Computer science; Human–computer interaction; Embedded system; World Wide Web; 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":[0.007134181,0.0005469919,0.0007157387,0.0005888139,0.0004960977,0.0009430283,0.0004116923,0.0006319793,0.001781552],"category_scores_gemma":[0.01549495,0.0002674609,0.001233576,0.0002590826,0.0003363756,0.0007036033,0.0009982317,0.0005570655,0.0003638545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003113523,"about_ca_system_score_gemma":0.0006555742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005760547,"about_ca_topic_score_gemma":0.001067444,"domain_scores_codex":[0.995788,0.002454471,0.0004360096,0.000341796,0.0006922046,0.0002875122],"domain_scores_gemma":[0.9918054,0.005124337,0.0007171333,0.0004352891,0.001340456,0.0005774089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008980735,0.04078007,0.6224914,0.004494024,0.001145793,0.002256217,0.029632,0.001071374,0.01442564,0.0003417305,0.003899127,0.2704819],"study_design_scores_gemma":[0.002535698,0.1314129,0.8181702,0.0009389223,0.001472849,0.003872572,0.01966242,0.006950526,0.005045366,0.000307789,0.009378493,0.0002521095],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976737,0.0001262432,0.0006210217,0.00008259826,0.00001860947,0.000873685,0.00008290778,0.00002128716,0.0005000084],"genre_scores_gemma":[0.9914403,0.000298027,0.005598598,0.0001963001,0.00003872107,0.001797358,0.0001560049,0.00001038285,0.0004642939],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007134181,"threshold_uncertainty_score":0.03772962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0717889328096539,"score_gpt":0.4112534444137568,"score_spread":0.339464511604103,"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."}}