{"id":"W4400349581","doi":"10.1038/s41746-024-01172-y","title":"A systematic umbrella review and meta-meta-analysis of eHealth and mHealth interventions for improving lifestyle behaviours","year":2024,"lang":"en","type":"article","venue":"npj Digital Medicine","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":81,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Leibniz-Gemeinschaft; Veski; Freie Hansestadt Bremen","keywords":"eHealth; mHealth; Meta-analysis; Psychological intervention; Systematic review; Medicine; Psychology; MEDLINE; Computer science; Nursing; Political science; Health care","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.02869842,0.004975776,0.02635294,0.01339165,0.001208615,0.005260061,0.002509472,0.00305034,0.005471153],"category_scores_gemma":[0.07592189,0.002726642,0.04946274,0.009903074,0.001022925,0.003652849,0.002876568,0.00260731,0.0007418102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005779885,"about_ca_system_score_gemma":0.007457603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00935498,"about_ca_topic_score_gemma":0.01921348,"domain_scores_codex":[0.9733588,0.01442371,0.006916656,0.001885316,0.002909199,0.0005064787],"domain_scores_gemma":[0.9748384,0.01670555,0.00476022,0.001228486,0.002153171,0.000314289],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.001447042,0.00003357499,0.001230893,0.4289733,0.553156,0.00007888398,0.00008967089,0.0003773817,0.0002790166,0.0001791716,0.0008633797,0.01329162],"study_design_scores_gemma":[0.0006407149,0.0001677599,0.001201526,0.04476929,0.9507735,0.00006566003,0.00002891979,0.0001242288,0.0001329681,0.0002373648,0.001833776,0.00002436858],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.002609481,0.9922684,0.001543454,0.0004823771,0.0004177912,0.001287754,0.0008324374,0.00007099805,0.0004872851],"genre_scores_gemma":[0.1033748,0.87115,0.01172339,0.002933478,0.0005507034,0.007642636,0.001602077,0.000105275,0.0009176551],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9736471,"threshold_uncertainty_score":0.1517736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2200741306778159,"score_gpt":0.512203863301477,"score_spread":0.2921297326236612,"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."}}