{"id":"W4387487191","doi":"10.1101/2023.10.08.561402","title":"Fluorescent pH-sensing bandage for point-of-care wound diagnostics","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Diabetic Foot Ulcer Assessment and Management","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; Université de Montréal","funders":"","keywords":"Bandage; Fluorescence; Wound healing; Biomedical engineering; Wound care; Point of care; Microparticle; Dorsum; Linear range; Materials science; Chemistry; Surgery; Detection limit; Medicine; Chromatography; Pathology; Chemical engineering; Anatomy; Optics","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":[0.0008947248,0.0007003199,0.0002772052,0.0006110299,0.0001784904,0.0006321384,0.0003261057,0.001023633,0.002115121],"category_scores_gemma":[0.0006901579,0.0002491097,0.0003438019,0.0002430001,0.0002357743,0.0005087642,0.0003557044,0.0007391611,0.0008961812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00037116,"about_ca_system_score_gemma":0.0001498211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002615898,"about_ca_topic_score_gemma":0.0002638854,"domain_scores_codex":[0.9996071,0.0001220956,0.00001970074,0.00007680137,0.0001313888,0.00004285211],"domain_scores_gemma":[0.999661,0.0001487328,0.00007286016,0.00002128998,0.00005436082,0.00004181239],"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":[0.00006439297,0.00004465257,0.0002657998,0.0000971328,0.000007336001,0.00003175186,0.00001268521,0.0001497926,0.9920534,0.0001805204,0.0002767502,0.006815915],"study_design_scores_gemma":[0.00001427274,0.0002270412,0.0009429822,0.0000153917,0.00001329449,0.0001809549,0.00001368927,0.002630273,0.992765,0.00009704372,0.003089807,0.00001025721],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6846361,0.02215637,0.2814554,0.001715302,0.0005113144,0.0004796888,0.0007405595,0.001616193,0.006689142],"genre_scores_gemma":[0.8068035,0.006064868,0.1798438,0.0006122143,0.0001293749,0.0002211901,0.000462799,0.00009464322,0.005767575],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002115121,"threshold_uncertainty_score":0.007075787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02292991073607452,"score_gpt":0.2666286204543483,"score_spread":0.2436987097182738,"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."}}