{"id":"W4285345127","doi":"10.2196/34355","title":"mHealth Apps for Musculoskeletal Rehabilitation: Systematic Search in App Stores and Content Analysis","year":2022,"lang":"en","type":"article","venue":"JMIR Rehabilitation and Assistive Technologies","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Science Foundation Ireland","keywords":"mHealth; Rehabilitation; App store; Psychological intervention; Mobile apps; Behavior change methods; Medicine; World Wide Web; Internet privacy; Computer science; Physical therapy; Nursing","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.003207864,0.0002062518,0.0007238407,0.001087382,0.001607408,0.00001351652,0.0001781787,0.0001801934,0.00003338587],"category_scores_gemma":[0.00294643,0.0001851203,0.0001219459,0.00148316,0.0003938804,0.0001102718,0.0002252159,0.0006736582,0.0000044237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005996042,"about_ca_system_score_gemma":0.0002708083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002493185,"about_ca_topic_score_gemma":0.0004054848,"domain_scores_codex":[0.9962229,0.001069937,0.001158695,0.0006713,0.0003195962,0.0005575521],"domain_scores_gemma":[0.990326,0.008396188,0.0004000669,0.0004530338,0.0002936462,0.0001310473],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004457026,0.0005475684,0.6811343,0.06651442,0.0001462606,9.838898e-7,0.007914859,0.0001119581,0.00007252103,0.2037914,0.001860908,0.03745909],"study_design_scores_gemma":[0.001926054,0.001686077,0.7246798,0.0005846337,0.0001393936,0.000001199688,0.2568015,0.00205237,0.000001026502,0.00638509,0.005483852,0.0002589495],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9440863,0.002330094,0.002497292,0.02776904,0.0001257711,0.02214324,0.0002471357,0.0006419841,0.0001591256],"genre_scores_gemma":[0.8713455,0.000117077,0.00614838,0.0001816696,0.00001247571,0.1219487,0.00007401273,0.00001786346,0.0001542806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2488867,"threshold_uncertainty_score":0.9996924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05545863840150188,"score_gpt":0.4318673194429232,"score_spread":0.3764086810414213,"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."}}