{"id":"W4225797136","doi":"10.2196/35053","title":"Emerging Artificial Intelligence–Empowered mHealth: Scoping Review","year":2022,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":128,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"mHealth; Digital health; Wearable computer; Health care; Wearable technology; Systematic review; Data science; Computer science; Telemedicine; Leverage (statistics); Applications of artificial intelligence; MEDLINE; Medicine; Artificial intelligence; Psychological intervention; 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":[0.02135381,0.00181229,0.005720456,0.02685376,0.001393529,0.005987095,0.002906653,0.004629406,0.006531392],"category_scores_gemma":[0.119023,0.001504945,0.00687313,0.02387712,0.002007899,0.005577836,0.003750741,0.002705222,0.0009273642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006195141,"about_ca_system_score_gemma":0.02657113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008535642,"about_ca_topic_score_gemma":0.01549118,"domain_scores_codex":[0.984529,0.005277553,0.005970342,0.0009023582,0.002843149,0.0004776416],"domain_scores_gemma":[0.8798854,0.09683955,0.01098157,0.001636352,0.009852462,0.0008046684],"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":[0.0001065827,0.00003574144,0.0004577293,0.8479487,0.00226091,0.0001503635,0.0005761078,0.0002429516,0.00012624,0.001700364,0.005320573,0.1410737],"study_design_scores_gemma":[0.00002546561,0.00004351218,0.0006177842,0.9612702,0.005065513,0.0001555333,0.000284074,0.0000719903,0.00008057628,0.0009009459,0.03146688,0.00001758189],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002334631,0.9972042,0.0003525316,0.0008263577,0.0002624676,0.0002810723,0.0001710977,0.000009381772,0.0006593885],"genre_scores_gemma":[0.002938934,0.9943539,0.000815169,0.0007650227,0.0001705878,0.0006663559,0.0001530184,0.000006032869,0.0001309686],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.02685376,"threshold_uncertainty_score":0.1129311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1766818420351909,"score_gpt":0.5127364708846038,"score_spread":0.336054628849413,"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."}}