{"id":"W4406177352","doi":"10.1021/acsanm.4c05691","title":"Dextran-Gold Nanoparticle-Based Tablets and Swabs for Colorimetric Detection of Urinary H<sub>2</sub>O<sub>2</sub>","year":2025,"lang":"en","type":"article","venue":"ACS Applied Nano Materials","topic":"Electrochemical sensors and biosensors","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Concordia University","keywords":"Dextran; Nanoparticle; Colloidal gold; Materials science; Urinary system; Nanotechnology; Chromatography; Chemistry; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002437708,0.0008525134,0.0003135154,0.0003589492,0.0001105131,0.000290323,0.0004108133,0.0007818044,0.0011534],"category_scores_gemma":[0.0004119682,0.0003817938,0.000225799,0.000177748,0.0002809552,0.0003236561,0.0003307888,0.0004610849,0.0006802143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002618221,"about_ca_system_score_gemma":0.0001775613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005886842,"about_ca_topic_score_gemma":0.001841799,"domain_scores_codex":[0.9995995,0.0000671965,0.0000242114,0.00007795139,0.0002060435,0.00002518826],"domain_scores_gemma":[0.9997672,0.00004972928,0.00007256679,0.00002042891,0.00005585724,0.00003407715],"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":[0.00004225249,0.00001693445,0.0001793233,0.00009257848,0.000008679854,0.00004999242,0.00001518264,0.00007482612,0.9925064,0.00005444116,0.0001724902,0.006786859],"study_design_scores_gemma":[0.00000718575,0.0002032804,0.001406284,0.000006258618,0.00001718459,0.0002787554,0.00001671883,0.001768429,0.9932262,0.00002734228,0.003029128,0.00001312076],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.76012,0.01473631,0.2127772,0.0008670549,0.000511571,0.0007598905,0.001005709,0.00246527,0.006756914],"genre_scores_gemma":[0.7704418,0.003994068,0.2143379,0.0007290983,0.00005800461,0.0002294427,0.000523964,0.0001029713,0.009582775],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0011534,"threshold_uncertainty_score":0.003858566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005347577837034962,"score_gpt":0.1898873509549935,"score_spread":0.1845397731179585,"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."}}