{"id":"W2526848150","doi":"10.1016/j.talanta.2016.09.070","title":"Single-particle inductively coupled plasma mass spectroscopy analysis of size and number concentration in mixtures of monometallic and bimetallic (core-shell) nanoparticles","year":2016,"lang":"en","type":"article","venue":"Talanta","topic":"Nanoparticles: synthesis and applications","field":"Materials Science","cited_by":42,"is_retracted":false,"has_abstract":false,"ca_institutions":"PerkinElmer Biosignal","funders":"National Institute of Standards and Technology; University of South Carolina; National Science Foundation","keywords":"Bimetallic strip; Chemistry; Inductively coupled plasma mass spectrometry; Nanoparticle; Particle (ecology); Spectroscopy; Inductively coupled plasma; Shell (structure); Analytical Chemistry (journal); Mass spectrometry; Particle size; Inductively coupled plasma atomic emission spectroscopy; Plasma; Nanotechnology; Physical chemistry; Chromatography; Metal; Organic chemistry; Nuclear physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002386916,0.0001072488,0.0003362362,0.00003983327,0.00003342461,0.00002524345,0.00008913629,0.0000399971,0.0002670248],"category_scores_gemma":[0.00009018376,0.00007688544,0.00003855956,0.0004365861,0.0002785491,0.0001754072,0.00003380857,0.00002184715,0.00000917981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002093999,"about_ca_system_score_gemma":0.00001579253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001175158,"about_ca_topic_score_gemma":0.00008465735,"domain_scores_codex":[0.9989676,0.0000515448,0.0003802843,0.0002633372,0.0001403289,0.0001969041],"domain_scores_gemma":[0.9991968,0.0003201876,0.0001902353,0.0001871715,0.00003806099,0.00006749439],"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":[0.000058978,0.000125099,0.09032793,0.000009673243,0.00004710783,6.204844e-7,0.0001685503,0.00000756771,0.9075119,0.001523373,0.0000012688,0.0002179374],"study_design_scores_gemma":[0.0004204719,0.00004554024,0.1171068,0.00002007795,0.0001670424,0.000001410716,0.00006880691,0.0009277651,0.8805067,0.0006441181,0.000004826685,0.00008647011],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994467,0.0001063167,0.00003799258,0.0001294305,0.00001381794,0.0001603266,0.00004733963,0.00001443119,0.00004364385],"genre_scores_gemma":[0.9991374,0.00007560196,0.000723578,0.000008383776,0.000008078396,0.0000185477,0.000001308949,0.000007651431,0.00001945042],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02700523,"threshold_uncertainty_score":0.3135298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0234445175299405,"score_gpt":0.2541326118880899,"score_spread":0.2306880943581494,"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."}}