{"id":"W854218626","doi":"10.1021/acs.analchem.5b00511","title":"Room Temperature Cation Exchange Reaction in Nanocrystals for Ultrasensitive Speciation Analysis of Silver Ions and Silver Nanoparticles","year":2015,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Nanoparticles: synthesis and applications","field":"Materials Science","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"Program for New Century Excellent Talents in University; National Natural Science Foundation of China","keywords":"Chemistry; Silver nanoparticle; Detection limit; Reagent; Ionic bonding; Nanoparticle; Mass spectrometry; Analytical Chemistry (journal); Genetic algorithm; Ion; Nanotechnology; Environmental chemistry; Chromatography; Physical chemistry; Materials science","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":[0.0004057188,0.0004809709,0.0003485742,0.0001968043,0.0001929457,0.0003038528,0.0006468919,0.0007556598,0.0005652682],"category_scores_gemma":[0.0003607105,0.0003071615,0.0002917815,0.0001688909,0.0002482157,0.0004614209,0.0003852599,0.0006094952,0.0004578723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004151084,"about_ca_system_score_gemma":0.0002795455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008405157,"about_ca_topic_score_gemma":0.001357949,"domain_scores_codex":[0.9995182,0.00007112792,0.00003300407,0.0001946152,0.0001411174,0.00004203321],"domain_scores_gemma":[0.9998246,0.00005428905,0.00003411009,0.00001982383,0.00005254945,0.0000146722],"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":[0.00001945264,0.000007481108,0.00006852946,0.00003669258,0.000002943852,0.00001813818,0.00001302505,0.0000471374,0.9974461,0.00007488642,0.00003738603,0.002228251],"study_design_scores_gemma":[0.000005130605,0.00003958487,0.0002493011,0.000002839892,0.000005542524,0.00007228935,0.00001012287,0.001588091,0.9967774,0.00003480177,0.001207227,0.000007657201],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7292652,0.00686196,0.2568906,0.0005486733,0.000275112,0.0003094897,0.0003427902,0.001115863,0.004390207],"genre_scores_gemma":[0.8060377,0.002425266,0.1842454,0.0002953637,0.00004065275,0.0002378705,0.0003600832,0.00009763384,0.006260095],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008405157,"threshold_uncertainty_score":0.003011763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02359034564899885,"score_gpt":0.2719387019251882,"score_spread":0.2483483562761894,"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."}}