{"id":"W4411666194","doi":"10.1016/j.cej.2025.165378","title":"Smartphone-integrated multifunctional nanozyme-based colorimetric sensor array for rapid and selective biothiol detection in point-of-care applications","year":2025,"lang":"en","type":"article","venue":"Chemical Engineering Journal","topic":"Advanced Nanomaterials in Catalysis","field":"Materials Science","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"Iran University of Science and Technology; Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canada Foundation for Innovation","keywords":"Point of care; Chemistry; Point-of-care testing; Medicine; Pathology","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":[0.0002686523,0.0007047534,0.0005988009,0.0002803828,0.0001384158,0.0003701852,0.0006618819,0.000858213,0.00181236],"category_scores_gemma":[0.0002800147,0.000360698,0.0003407865,0.0002315851,0.0001539641,0.0003605691,0.0004061261,0.000460849,0.001369256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000258666,"about_ca_system_score_gemma":0.0002982708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003540731,"about_ca_topic_score_gemma":0.001383856,"domain_scores_codex":[0.9996594,0.0000391725,0.00002324085,0.0001110492,0.0001291705,0.00003796479],"domain_scores_gemma":[0.9998104,0.00002930539,0.00002849141,0.00001264608,0.00009402412,0.00002513622],"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":[0.00007500063,0.00001286814,0.0001605992,0.00007556399,0.000008075824,0.00004357297,0.00001238191,0.00003732034,0.9940719,0.00005124788,0.0002951605,0.005156326],"study_design_scores_gemma":[0.0000195138,0.0002643153,0.001351321,0.00000801501,0.00003692471,0.0003706407,0.00002769157,0.004685336,0.9889873,0.00003455588,0.004198213,0.00001618948],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7692623,0.01084155,0.2028375,0.001291889,0.001010879,0.0003929692,0.002254849,0.00353332,0.008574937],"genre_scores_gemma":[0.846147,0.003173602,0.1351909,0.0008866726,0.0001576359,0.0003189376,0.001483331,0.00008820774,0.01255368],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00181236,"threshold_uncertainty_score":0.006062984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005008701294698417,"score_gpt":0.2297513209336733,"score_spread":0.2247426196389749,"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."}}