{"id":"W4401388272","doi":"10.1021/acs.analchem.4c02034","title":"Innovative Wearable Sweat Sensor Array for Real-Time Volatile Organic Compound Detection in Noninvasive Diabetes Monitoring","year":2024,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada; University of Toronto; Iran University of Science and Technology; University of Toronto Scarborough; Tehran University of Medical Sciences and Health Services; Canada Research Chairs; Canada Foundation for Innovation","keywords":"Wearable computer; Chemistry; Microfluidics; Nanotechnology; Computer science; Embedded system; Materials science","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.00009804437,0.0001788714,0.0002470001,0.00004756602,0.00004299835,0.00008223843,0.00006855346,0.0001243339,0.00009592777],"category_scores_gemma":[0.0001458486,0.00018491,0.00004525324,0.0004202034,0.00003453927,0.0001301325,0.00001330225,0.000167734,0.00003469631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001802666,"about_ca_system_score_gemma":0.00001923319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008405736,"about_ca_topic_score_gemma":0.000001342875,"domain_scores_codex":[0.9990756,0.000008077609,0.0002582816,0.0002461599,0.00009071111,0.0003211505],"domain_scores_gemma":[0.9994459,0.0002765869,0.00001760128,0.000133963,0.00006289744,0.00006307427],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000006226242,0.000007285703,0.000224235,0.0003293118,0.00004796399,0.00001262725,0.00004406862,0.005658114,0.9934374,0.000004307175,0.00003559181,0.0001928328],"study_design_scores_gemma":[0.0001332124,0.00001178583,0.0001211339,0.0002129412,0.00002009689,0.000004933019,0.00004568299,0.04416855,0.9545924,0.0002304834,0.0002608939,0.0001978735],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930477,0.0000763459,0.002231997,0.00001397996,0.0001947292,0.00007094711,0.00001543549,0.0003794328,0.003969432],"genre_scores_gemma":[0.9971759,0.00002919103,0.001000211,0.000002915833,0.0003909917,0.00002484465,0.00001889676,0.000055436,0.001301571],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03884503,"threshold_uncertainty_score":0.754041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01104315576086729,"score_gpt":0.2369674096956886,"score_spread":0.2259242539348213,"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."}}