{"id":"W3132575552","doi":"10.2196/25604","title":"Usability of a Fall Risk mHealth App for People With Multiple Sclerosis: Mixed Methods Study","year":2021,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Usability; mHealth; Quality of life (healthcare); Medicine; Fall prevention; Applied psychology; Physical therapy; Psychology; Poison control; Computer science; Human factors and ergonomics; Medical emergency; Psychological intervention; Nursing; Human–computer interaction","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001568472,0.0003403867,0.00116311,0.0001868689,0.000419344,0.00003538194,0.0002141899,0.0001050638,0.00009214952],"category_scores_gemma":[0.002773552,0.0002470271,0.0002732202,0.00057819,0.0002279827,0.0001014816,0.0002390093,0.0004053131,0.000003242887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002119265,"about_ca_system_score_gemma":0.0002479148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001540236,"about_ca_topic_score_gemma":0.01120419,"domain_scores_codex":[0.9963741,0.0007796626,0.0006761372,0.0007706077,0.0007825223,0.0006169542],"domain_scores_gemma":[0.9959513,0.001595991,0.0003022684,0.0009722713,0.0008437297,0.0003344321],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003913876,0.002986332,0.9637928,0.0006695738,0.0004947145,0.000001736489,0.009735904,0.000007514475,0.01587987,0.000007632615,0.0005052312,0.005527278],"study_design_scores_gemma":[0.005736649,0.002249795,0.9604331,0.0001368827,0.0001901789,8.177475e-7,0.018514,0.0001106849,0.0120354,0.00001948276,0.0003641506,0.000208907],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942155,0.0001505261,0.001051451,0.0000883583,0.00008973527,0.004013871,0.0001830261,0.0001146048,0.00009287617],"genre_scores_gemma":[0.9878609,0.00005019871,0.01069095,0.00002003628,0.00007673744,0.0009938265,0.00006860102,0.00005582589,0.0001829618],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009663954,"threshold_uncertainty_score":0.9999982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1325076503769779,"score_gpt":0.4284392468585093,"score_spread":0.2959315964815313,"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."}}