{"id":"W4408222066","doi":"10.1680/jenes.24.00060","title":"Selective colorimetric detection of Pb<sup>2+</sup> using Ag nanoparticles encapsulated in CMC","year":2025,"lang":"en","type":"article","venue":"Journal of Environmental Engineering and Science","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Carboxymethyl cellulose; Silver nanoparticle; Supramolecular chemistry; Aqueous solution; Chemistry; X-ray photoelectron spectroscopy; Fourier transform infrared spectroscopy; Absorption spectroscopy; Absorption (acoustics); Nuclear chemistry; Nanoparticle; Transmission electron microscopy; Surface plasmon resonance; Spectroscopy; Fluorescence; Analytical Chemistry (journal); Photochemistry; Materials science; Crystallography; Nanotechnology; Chemical engineering; Physical chemistry; Organic chemistry; Crystal structure","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.00022707,0.0009204433,0.0004328924,0.0003101317,0.0001657038,0.0006081469,0.0005083879,0.0007471236,0.0005478027],"category_scores_gemma":[0.0003665401,0.0002832953,0.0002463381,0.0001779931,0.0002954034,0.0004644866,0.0004135321,0.000489164,0.0005434585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003461018,"about_ca_system_score_gemma":0.000176703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003629724,"about_ca_topic_score_gemma":0.0004642031,"domain_scores_codex":[0.9996914,0.00004616972,0.00002032586,0.00006876801,0.0001354855,0.00003787054],"domain_scores_gemma":[0.9997919,0.00004485097,0.00006122881,0.00001579668,0.00006678882,0.00001943035],"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":[0.00002169502,0.000003509893,0.0000419459,0.00004084547,0.000003454232,0.00003831939,0.000004898856,0.0000390291,0.9982299,0.00003822041,0.00002505846,0.001513135],"study_design_scores_gemma":[0.000001067591,0.00002230459,0.00009034031,0.000001588908,0.000003893335,0.00007494583,0.000003352346,0.000434177,0.9989716,0.000008579525,0.0003856661,0.000002517372],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8563036,0.01181894,0.121117,0.0006554592,0.0003099503,0.0001542148,0.0003016906,0.001505078,0.007834051],"genre_scores_gemma":[0.9182937,0.003448692,0.07275389,0.0003622106,0.00008625861,0.00008740568,0.0001970131,0.00009497845,0.0046759],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009204433,"threshold_uncertainty_score":0.002511203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003872729279775949,"score_gpt":0.2195450405979411,"score_spread":0.2156723113181652,"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."}}