{"id":"W2291994988","doi":"10.1093/eurheartj/ehv770","title":"Mobile technology and the digitization of healthcare","year":2016,"lang":"en","type":"review","venue":"European Heart Journal","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":483,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto; Massachusetts Institute of Technology","keywords":"mHealth; Digital health; Medicine; Workflow; Health care; Mobile device; Health technology; Telemedicine; Digitization; Data science; Mobile technology; Internet privacy; Computer science; Psychological intervention; Telecommunications; World Wide Web; Nursing","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.001666594,0.0006081826,0.0009387776,0.003672663,0.0004214811,0.002235445,0.000805667,0.001702147,0.005425055],"category_scores_gemma":[0.003694594,0.0002754555,0.0007300733,0.00462735,0.001877447,0.003340763,0.001686685,0.001872445,0.001318105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001452474,"about_ca_system_score_gemma":0.002723899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002367771,"about_ca_topic_score_gemma":0.002806482,"domain_scores_codex":[0.9985353,0.0005127565,0.0001670963,0.0001562351,0.0005262656,0.0001023442],"domain_scores_gemma":[0.9974771,0.001790058,0.0002821567,0.00009046136,0.0002844866,0.00007581981],"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":[0.00003990793,0.00003882433,0.0005040211,0.02785677,0.0001238602,0.0002097111,0.0005863582,0.000353283,0.0006182021,0.03606645,0.02026733,0.9133353],"study_design_scores_gemma":[0.00001189533,0.00007156547,0.002104265,0.01512447,0.00008719444,0.001129181,0.0004990051,0.0000950531,0.00023701,0.0121334,0.9684814,0.00002570506],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002131043,0.9956806,0.0002195312,0.001350602,0.0002231887,0.000007361391,0.00001448592,0.000005678788,0.002285382],"genre_scores_gemma":[0.002763422,0.9954396,0.000306781,0.0006185863,0.0004015531,0.00001089117,0.00001511412,0.000001753728,0.0004422308],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005425055,"threshold_uncertainty_score":0.01814866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09468353690785367,"score_gpt":0.4717512695706909,"score_spread":0.3770677326628372,"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."}}