{"id":"W4323354624","doi":"10.1016/j.biomaterials.2023.122075","title":"Skin-interfaced electronics: A promising and intelligent paradigm for personalized healthcare","year":2023,"lang":"en","type":"review","venue":"Biomaterials","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":58,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Institute of General Medical Sciences; National Institutes of Health","keywords":"Health care; Personalized medicine; Electronics; Commercialization; Computer science; Precision medicine; Augmented reality; Systems engineering; Human–computer interaction; Nanotechnology; Engineering; Medicine; Materials science; Electrical engineering; Bioinformatics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003766896,0.0006174052,0.002057942,0.0001887004,0.0001054338,0.000221689,0.0002008715,0.0003617099,0.00002350741],"category_scores_gemma":[0.00008514529,0.000536466,0.0002405491,0.000146959,0.00005319607,0.00007292143,0.00005852582,0.00003229417,0.00005529809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002118701,"about_ca_system_score_gemma":0.00007085051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001734135,"about_ca_topic_score_gemma":0.000008981558,"domain_scores_codex":[0.9976637,0.0001258553,0.0009519498,0.0004905026,0.0001128887,0.0006550414],"domain_scores_gemma":[0.999117,0.0002007039,0.0002178852,0.0002954688,0.00002788717,0.0001410178],"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":[0.0000908687,0.00002564899,9.175717e-8,0.264599,0.001160185,0.00002586962,0.0004721784,0.0000921165,0.02026478,0.004055955,0.0008073053,0.708406],"study_design_scores_gemma":[0.0002098608,0.00006898214,1.207389e-7,0.009292549,0.0002464603,0.00005499615,0.00001288806,0.00003486445,0.007321438,0.0005869776,0.9815631,0.000607771],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0007004562,0.9937758,0.000809427,0.00001312296,0.001662102,0.001515222,0.0004810758,0.001029402,0.00001336211],"genre_scores_gemma":[0.00006930052,0.9968255,0.0009477519,0.000008113428,0.0005153986,0.0006669677,0.0003852625,0.0003143817,0.0002672919],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9807558,"threshold_uncertainty_score":0.9997087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09052597885815132,"score_gpt":0.3491492314485116,"score_spread":0.2586232525903602,"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."}}