{"id":"W2297304327","doi":"10.1007/s00216-016-9432-0","title":"Detection of zinc oxide and cerium dioxide nanoparticles during drinking water treatment by rapid single particle ICP-MS methods","year":2016,"lang":"en","type":"article","venue":"Analytical and Bioanalytical Chemistry","topic":"Nanoparticles: synthesis and applications","field":"Materials Science","cited_by":69,"is_retracted":false,"has_abstract":false,"ca_institutions":"PerkinElmer Biosignal","funders":"Missouri University of Science and Technology; University of Missouri","keywords":"Inductively coupled plasma mass spectrometry; Nanoparticle; Cerium; Zinc; Cerium oxide; Chemistry; Environmental chemistry; Particle (ecology); Chromatography; Mass spectrometry; Inorganic chemistry; Oxide; Nanotechnology; Materials science; Organic chemistry","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":[0.0002934892,0.0001951336,0.0003403311,0.00001794119,0.0001332864,0.00006001926,0.00009762327,0.0000940828,0.0002964548],"category_scores_gemma":[0.0001005771,0.0001074207,0.00008791613,0.0001129225,0.0005113966,0.0001491109,0.0001061715,0.000042871,0.00001797826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005964016,"about_ca_system_score_gemma":0.000009432282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003947749,"about_ca_topic_score_gemma":0.000004383727,"domain_scores_codex":[0.998441,0.00005870983,0.0004356191,0.0004616866,0.0001744669,0.0004284744],"domain_scores_gemma":[0.9990996,0.0002398129,0.00006535464,0.0002614026,0.00004786052,0.0002859963],"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":[0.00005128998,0.0001960469,0.0007586851,0.00003436764,0.00003280947,0.000002248774,0.00002044984,3.437922e-7,0.9915884,0.0001146346,0.00000331066,0.00719744],"study_design_scores_gemma":[0.0004561764,0.00007343393,0.0007178983,0.00003170576,0.0001844675,0.00001520768,0.00004549155,0.0005115003,0.9969704,0.0003731279,0.0004352954,0.0001852538],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974479,0.0002256355,0.0008075887,0.001269286,0.0000098364,0.00007447512,0.00001394211,0.00004632982,0.0001050045],"genre_scores_gemma":[0.9987541,0.00008421371,0.0006989477,0.00002537006,0.00004245971,0.00001903188,0.000001124438,0.00001353215,0.0003611485],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007012187,"threshold_uncertainty_score":0.4380491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01779632549840873,"score_gpt":0.2586132822835966,"score_spread":0.2408169567851879,"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."}}