{"id":"W4413112873","doi":"10.1073/pnas.2506137122","title":"Remote analysis and management of sweat biomarkers using a wearable microfluidic sticker in adult cystic fibrosis patients","year":2025,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Cystic Fibrosis Research Advances","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Science North","funders":"National Center for Advancing Translational Sciences; National Institute of Biomedical Imaging and Bioengineering; National Heart, Lung, and Blood Institute; Foundation for the National Institutes of Health","keywords":"SWEAT; Pilocarpine; Cystic fibrosis; Sweat test; Gold standard (test); Perspiration; Chemistry; Medicine; Internal medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003673478,0.0003400299,0.0006607179,0.0003283986,0.0002307205,0.0005023825,0.0002409933,0.0005520828,0.0007084403],"category_scores_gemma":[0.00111885,0.0001283722,0.0003516015,0.0002710019,0.0001948081,0.0003136123,0.0003680165,0.000366199,0.0001979196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001985277,"about_ca_system_score_gemma":0.0001627435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009130281,"about_ca_topic_score_gemma":0.001124957,"domain_scores_codex":[0.9996821,0.00008225747,0.00004328249,0.0000901916,0.00006678136,0.00003548385],"domain_scores_gemma":[0.9996243,0.0001049373,0.0001316064,0.00002294087,0.00005023033,0.00006601342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.005744334,0.0007581046,0.7340589,0.000998886,0.0002542057,0.004309687,0.00138096,0.001748369,0.07516848,0.0002704638,0.002675635,0.172632],"study_design_scores_gemma":[0.0002056523,0.007774774,0.9429278,0.0003387338,0.000451816,0.007777414,0.001166979,0.01179978,0.02171497,0.0004122511,0.00533055,0.00009930581],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924321,0.003461585,0.002360228,0.0002326234,0.00003610256,0.00006355956,0.0002818695,0.00009770736,0.001034081],"genre_scores_gemma":[0.9966257,0.0007043304,0.001944253,0.0001966722,0.00004104107,0.00005492761,0.0001260341,0.000006617115,0.0003004172],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009130281,"threshold_uncertainty_score":0.00236994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02131774257505063,"score_gpt":0.3300625282178983,"score_spread":0.3087447856428476,"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."}}