{"id":"W2779435655","doi":"10.1016/j.aca.2017.12.016","title":"Citrate-capped silver nanoparticles as a probe for sensitive and selective colorimetric and spectrophotometric sensing of creatinine in human urine","year":2017,"lang":"en","type":"article","venue":"Analytica Chimica Acta","topic":"Electrochemical sensors and biosensors","field":"Engineering","cited_by":110,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Mount Allison University; National Research Foundation of Korea; South African Medical Research Council; National Research Foundation","keywords":"Chemistry; Creatinine; Silver nanoparticle; Detection limit; Surface plasmon resonance; Chromatography; Analytical Chemistry (journal); Aqueous solution; Nanoparticle; Nanotechnology; Biochemistry; Organic chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004642964,0.0004094576,0.0004283946,0.0003309841,0.0002752287,0.0004165596,0.000706273,0.001320802,0.0004077752],"category_scores_gemma":[0.0005539685,0.0004426921,0.0003204388,0.0002111404,0.0003323003,0.0002653656,0.0003474149,0.0004426012,0.0002865108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003514158,"about_ca_system_score_gemma":0.0003667325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000606392,"about_ca_topic_score_gemma":0.001241084,"domain_scores_codex":[0.9995362,0.0001148178,0.00002536478,0.0001399355,0.0001374147,0.00004638372],"domain_scores_gemma":[0.9997919,0.00005609136,0.00003204881,0.00001751518,0.00007221187,0.00003015652],"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":[0.00008125196,0.00001319488,0.00006929861,0.00003452978,0.000004846335,0.00004802748,0.00001435125,0.00004702104,0.997982,0.00004423693,0.00006616922,0.001594998],"study_design_scores_gemma":[0.000009806678,0.0001399448,0.0004174593,0.000002669483,0.00001698012,0.0002053072,0.00001003463,0.002322254,0.996299,0.00002730892,0.0005406855,0.000008486851],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9199974,0.005650323,0.06975874,0.0007783856,0.0003696337,0.00009472875,0.0001506852,0.0005294582,0.002670583],"genre_scores_gemma":[0.9635854,0.0008933068,0.03241628,0.0003549942,0.00005221882,0.0000469854,0.0001322999,0.00004055419,0.002477964],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001320802,"threshold_uncertainty_score":0.002549708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01074184147679552,"score_gpt":0.2478966664721991,"score_spread":0.2371548249954036,"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."}}