{"id":"W4226403870","doi":"10.2196/32557","title":"Digital Health Technologies for Long-term Self-management of Osteoporosis: Systematic Review and Meta-analysis","year":2022,"lang":"en","type":"review","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Khalifa University of Science, Technology and Research","keywords":"mHealth; Scopus; Medicine; Meta-analysis; Psychological intervention; Self-management; Randomized controlled trial; MEDLINE; Systematic review; Grey literature; Osteoporosis; Computer science; Nursing; Pathology","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","metaepi_broad","sts"],"consensus_categories":[],"category_scores_codex":[0.005390602,0.001164533,0.01647708,0.001187503,0.002496809,0.00003605117,0.0008196789,0.0006568452,0.0001870584],"category_scores_gemma":[0.000167889,0.0008700142,0.001766935,0.002628034,0.0001686672,0.0001770375,0.0006337863,0.001727667,0.00002078331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008928253,"about_ca_system_score_gemma":0.003431899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006240664,"about_ca_topic_score_gemma":0.00005344511,"domain_scores_codex":[0.9864079,0.001762932,0.007193475,0.001766568,0.0007308486,0.002138241],"domain_scores_gemma":[0.9860137,0.002354455,0.008154812,0.002144718,0.0002294009,0.001102929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001161262,0.0001822608,0.0000149888,0.8817144,0.01576868,0.000001386925,0.0001858616,3.822028e-8,1.145084e-10,0.001767568,0.001309145,0.09904408],"study_design_scores_gemma":[0.0004844242,0.0003798014,0.00002636903,0.04148094,0.4743462,0.00001655738,0.000708903,0.000001807897,1.248665e-9,0.00007352952,0.4820284,0.000453063],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000001175649,0.9244326,0.000128836,0.003341648,0.0001335292,0.06803222,0.003174825,0.0005084635,0.0002466796],"genre_scores_gemma":[0.00001465419,0.8214681,0.0006668351,0.002907223,0.00003096191,0.1725864,0.001392103,0.0001265592,0.0008071494],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8402334,"threshold_uncertainty_score":0.999375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1779533552615175,"score_gpt":0.5027758034036048,"score_spread":0.3248224481420874,"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."}}