{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03008173,0.001884975,0.008537365,0.04646911,0.001536834,0.00355154,0.002603635,0.00184512,0.008252551],"category_scores_gemma":[0.09860925,0.001505035,0.005568325,0.03340321,0.001826947,0.00524268,0.004737217,0.001331224,0.00123478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005105001,"about_ca_system_score_gemma":0.02341897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009226345,"about_ca_topic_score_gemma":0.02445599,"domain_scores_codex":[0.9681658,0.008456898,0.01673866,0.001478183,0.004469776,0.0006906421],"domain_scores_gemma":[0.8624254,0.1068764,0.016969,0.002399293,0.01050595,0.0008240679],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002296555,0.00004258933,0.002003836,0.9596943,0.002634228,0.0002930707,0.002368511,0.00006989764,0.0002517399,0.0002971439,0.002868648,0.02924651],"study_design_scores_gemma":[0.0002548328,0.0002657713,0.007825643,0.9502461,0.01668569,0.0003750096,0.00268666,0.0001855024,0.0002747266,0.0004951369,0.02063065,0.00007423601],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.03266118,0.8850119,0.00470456,0.002464399,0.0003486177,0.04042778,0.02973681,0.0002637602,0.004380954],"genre_scores_gemma":[0.1279215,0.7385108,0.02055292,0.00359478,0.000266507,0.09502342,0.01195245,0.0001747746,0.002002758],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04646911,"threshold_uncertainty_score":0.1590893,"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."}}