{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00204098,0.0002973595,0.0006290489,0.0002971051,0.001365175,0.00003979955,0.0003367382,0.00007737913,0.003737638],"category_scores_gemma":[0.00005689785,0.0003285045,0.0001440623,0.0008012943,0.0001094276,0.0001623491,0.0002537875,0.0008123111,0.0003262121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004284197,"about_ca_system_score_gemma":0.0006049027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004629157,"about_ca_topic_score_gemma":0.0001511799,"domain_scores_codex":[0.994952,0.0007071389,0.001748809,0.0008034,0.0005041835,0.001284504],"domain_scores_gemma":[0.997673,0.0001911896,0.0006194708,0.0005639971,0.00005758418,0.0008947719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000426857,0.001509921,0.0004421862,0.04200418,0.00003144965,0.00005458646,0.002599536,0.000005043479,0.000001276094,0.08795401,0.02149586,0.8434751],"study_design_scores_gemma":[0.008206018,0.05312651,0.04506217,0.2430176,0.001457921,0.005299022,0.05444049,0.001600907,0.0001318589,0.1958111,0.3814418,0.01040459],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.2745211,0.4687982,0.001687228,0.1602028,0.02628796,0.01871134,0.0009331064,0.001432285,0.047426],"genre_scores_gemma":[0.9700238,0.004620776,0.0003265974,0.02102024,0.0004123489,0.002291512,0.0001537984,0.00008529537,0.001065659],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8330705,"threshold_uncertainty_score":0.9999349,"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."}}