{"id":"W4389379656","doi":"10.2196/46558","title":"Mobile Technology–Based Interventions for Stroke Self-Management Support: Scoping Review","year":2023,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Baycrest Hospital; McMaster University; Toronto Rehabilitation Institute; University of Toronto","funders":"University of Toronto; Toronto Rehabilitation Institute; Canada Research Chairs","keywords":"Psychological intervention; mHealth; Stroke (engine); Mobile technology; Computer science; Self-management; Mobile device; Medicine; Psychology; Nursing; World Wide Web; Engineering; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.02054731,0.002079626,0.007177093,0.02379357,0.00159687,0.00472071,0.00271069,0.004048397,0.006577634],"category_scores_gemma":[0.08604667,0.001436394,0.006644943,0.02130134,0.001419373,0.003936394,0.00329264,0.001973674,0.0008721132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005659551,"about_ca_system_score_gemma":0.02712666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007489199,"about_ca_topic_score_gemma":0.01614174,"domain_scores_codex":[0.9854775,0.005094178,0.005712302,0.0006402592,0.00271466,0.0003611848],"domain_scores_gemma":[0.9431629,0.04202116,0.007898891,0.0009282712,0.005518019,0.0004706682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.000113325,0.00005577119,0.0003410781,0.8511672,0.00179426,0.00009446968,0.0004768524,0.0001816705,0.0001557989,0.0006754996,0.002634489,0.1423095],"study_design_scores_gemma":[0.00004433996,0.00006706265,0.0006549857,0.9798106,0.004662894,0.00007802148,0.0002246462,0.00006186409,0.0000838105,0.00021969,0.01407994,0.00001214354],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0006113309,0.9952332,0.0004641212,0.0005639861,0.0002787322,0.001686285,0.0002548236,0.00001557258,0.0008919404],"genre_scores_gemma":[0.0047664,0.9900956,0.001442072,0.0003829546,0.0001156077,0.00279516,0.0002167984,0.000005863931,0.0001795946],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.02379357,"threshold_uncertainty_score":0.1086658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06146996005204371,"score_gpt":0.4471608528395659,"score_spread":0.3856908927875222,"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."}}