{"id":"W4409356302","doi":"10.2196/67275","title":"Evaluating User Experience and Satisfaction in a Concussion Rehabilitation App: Usability Study","year":2025,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada; Centre for Social Innovation; University of Toronto","funders":"","keywords":"Usability; mHealth; Likert scale; Rehabilitation; Medicine; Concussion; Physical therapy; System usability scale; Mobile apps; Psychology; Applied psychology; Poison control; Psychological intervention; Injury prevention; Web usability; Medical emergency; Computer science; Nursing; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00953937,0.000646731,0.001090808,0.001277508,0.0007726682,0.00131175,0.0004581927,0.0007193986,0.001545307],"category_scores_gemma":[0.02746928,0.0003407813,0.001533854,0.0007333216,0.0005630315,0.0009820146,0.001122984,0.000578528,0.0003662209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004580033,"about_ca_system_score_gemma":0.0004940905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009626317,"about_ca_topic_score_gemma":0.001367727,"domain_scores_codex":[0.9945878,0.002556671,0.0007724474,0.0004681702,0.001226604,0.0003883867],"domain_scores_gemma":[0.9743255,0.01587453,0.002008265,0.0008589646,0.005977207,0.0009555731],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006180778,0.01330112,0.7298172,0.003488005,0.001067396,0.001535353,0.0796537,0.001029498,0.02110096,0.0001758538,0.002269589,0.1403807],"study_design_scores_gemma":[0.0005272621,0.0480574,0.9017064,0.0003999228,0.0008557472,0.001884734,0.02924918,0.005793727,0.007444013,0.000118275,0.003719226,0.0002441515],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99876,0.00007391666,0.0004228079,0.00002368935,0.000007315097,0.0002885094,0.00006258441,0.00001740522,0.0003438319],"genre_scores_gemma":[0.9960867,0.0001389998,0.002335822,0.00006826086,0.00001622434,0.0006456866,0.0001534392,0.00001710574,0.0005378205],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00953937,"threshold_uncertainty_score":0.05044961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1648125884131215,"score_gpt":0.627812815102926,"score_spread":0.4630002266898045,"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."}}