{"id":"W2344929135","doi":"10.1007/s00216-016-9565-1","title":"Single particle ICP-MS method development for the determination of plant uptake and accumulation of CeO2 nanoparticles","year":2016,"lang":"en","type":"article","venue":"Analytical and Bioanalytical Chemistry","topic":"Advanced Nanomaterials in Catalysis","field":"Materials Science","cited_by":101,"is_retracted":false,"has_abstract":false,"ca_institutions":"PerkinElmer Biosignal","funders":"PerkinElmer; U.S. Department of Agriculture","keywords":"Inductively coupled plasma mass spectrometry; Nanoparticle; Chemistry; Cerium; Cerium oxide; Shoot; Particle (ecology); Mass spectrometry; Extraction (chemistry); Environmental chemistry; Botany; Nanotechnology; Chromatography; Materials science; Biology","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":[0.0005000561,0.0001091184,0.000256947,0.0000149924,0.00006491825,0.00002172579,0.0001074467,0.00006860908,0.0001021531],"category_scores_gemma":[0.0005181782,0.00005810051,0.00004787751,0.0000991496,0.0003554555,0.0000923998,0.00008665712,0.00002008065,0.00000142549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002188689,"about_ca_system_score_gemma":0.00002352055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004579957,"about_ca_topic_score_gemma":0.000002976969,"domain_scores_codex":[0.9988853,0.00002092632,0.0004672943,0.0002507433,0.0001859431,0.000189823],"domain_scores_gemma":[0.9985625,0.0009477209,0.0001411535,0.0001694361,0.00009554726,0.00008368203],"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":[0.00009306784,0.00005638507,0.0004136349,0.00008042593,0.00001935945,4.754835e-7,0.00003110081,0.000002005479,0.9773578,0.0004280531,0.00000405216,0.02151363],"study_design_scores_gemma":[0.0003447635,0.00003861134,0.001109378,0.0000374984,0.0001456555,0.00000532643,0.00003879459,0.0088992,0.9879829,0.0009487591,0.0003558909,0.00009320624],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9631185,0.00008710012,0.03615638,0.0004261208,0.00001739247,0.00009840302,0.00006001228,0.00001204049,0.00002407442],"genre_scores_gemma":[0.9841063,0.00001471218,0.01572404,0.00001523393,0.0000305464,0.00001071315,0.000004212404,0.000006202836,0.00008801607],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02142043,"threshold_uncertainty_score":0.236927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0637673606800788,"score_gpt":0.3299709463219492,"score_spread":0.2662035856418704,"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."}}