{"id":"W3011155732","doi":"10.1371/journal.pone.0223461","title":"Salivary molecular spectroscopy: A sustainable, rapid and non-invasive monitoring tool for diabetes mellitus during insulin treatment","year":2020,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Spectroscopy Techniques in Biomedical and Chemical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":79,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Fundação de Amparo à Pesquisa do Estado de Minas Gerais; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Canadian Institutes of Health Research; Universidade Federal de Uberlândia; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Instituto Nacional de Ciência e Tecnologia em Teranóstica e Nanobiotecnologia","keywords":"Diabetes mellitus; Saliva; Medicine; Fourier transform infrared spectroscopy; Internal medicine; Insulin; Spectroscopy; Chemistry; Gastroenterology; Endocrinology; Physics; Optics","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":[0.00007410123,0.0002063966,0.0002641217,0.00003492484,0.00009695317,0.00004098863,0.000179813,0.0001596844,0.00001724362],"category_scores_gemma":[0.000360538,0.000188679,0.00008486192,0.0001197582,0.0001187787,0.000005926525,0.000211695,0.0001130214,0.000002280432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007184532,"about_ca_system_score_gemma":0.00007725183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004490328,"about_ca_topic_score_gemma":1.351333e-7,"domain_scores_codex":[0.9985225,0.00002384432,0.0001907969,0.00049075,0.0002314058,0.0005406872],"domain_scores_gemma":[0.9993532,0.00004249359,0.00004331779,0.0002315668,0.00008627306,0.0002431082],"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":[0.0002423039,0.0003642972,0.002467241,0.0004737334,0.0002543498,0.00001938398,0.00004311354,1.798499e-7,0.9957898,0.00001617793,0.0001036307,0.00022583],"study_design_scores_gemma":[0.0008627882,0.001835493,0.0003285883,0.00006909235,0.00006487883,5.612435e-7,0.00004425973,0.00003203167,0.9958563,0.0001760639,0.0005202095,0.0002097349],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994316,0.003210164,0.000607812,0.0008092829,0.000009513421,0.0007054434,0.00002483384,0.00004622175,0.0002707161],"genre_scores_gemma":[0.979812,0.005015311,0.01380467,0.0002040015,0.0004533949,0.0004227052,0.00006240213,0.00003981996,0.0001857503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01450407,"threshold_uncertainty_score":0.7694107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01775701910615539,"score_gpt":0.2644899905947836,"score_spread":0.2467329714886282,"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."}}