{"id":"W2324789391","doi":"10.1021/es300883q","title":"Influence of Collector Surface Composition and Water Chemistry on the Deposition of Cerium Dioxide Nanoparticles: QCM-D and Column Experiment Approaches","year":2012,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Analytical Chemistry and Sensors","field":"Chemical Engineering","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Nanotechnology Initiative; National Institutes of Health; U.S. Environmental Protection Agency","keywords":"Quartz crystal microbalance; Chemistry; Cerium; Cerium oxide; Carboxymethyl cellulose; Deposition (geology); Ionic strength; Humic acid; Dissolution; Inorganic chemistry; Chemical engineering; Nanoparticle; Citric acid; Analytical Chemistry (journal); Oxide; Chromatography; Adsorption; Sodium; Aqueous solution; Sediment; Physical chemistry; Organic chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001405038,0.0009143066,0.0007664384,0.000371027,0.0005417539,0.0009811461,0.00104217,0.001154179,0.001127155],"category_scores_gemma":[0.001774086,0.000639312,0.0004799997,0.0005444794,0.0007785062,0.0004718041,0.0005541093,0.001069401,0.0003714171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0016843,"about_ca_system_score_gemma":0.0009674408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009095762,"about_ca_topic_score_gemma":0.01816773,"domain_scores_codex":[0.9984317,0.0001933258,0.00009822054,0.0003946325,0.000733096,0.0001489895],"domain_scores_gemma":[0.9984645,0.0007978202,0.0001550022,0.0001191391,0.0004139664,0.00004968902],"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":[0.00004402208,0.0000244729,0.0002712387,0.00007036507,0.00001387359,0.00001646798,0.00003935151,0.0001854796,0.9980476,0.00006436859,0.00005100897,0.001171735],"study_design_scores_gemma":[0.000006927718,0.00004323634,0.0008359707,0.000001872112,0.00001195192,0.00002196639,0.00001523743,0.001843747,0.9965527,0.00002194936,0.0006325035,0.00001198751],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8532515,0.003046603,0.1331484,0.0007075547,0.0002668683,0.0008689893,0.002160497,0.001414923,0.005134739],"genre_scores_gemma":[0.8693627,0.002878306,0.1205599,0.001095508,0.00005622085,0.001226978,0.0008734232,0.0002440463,0.003702985],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009095762,"threshold_uncertainty_score":0.01808566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00859811949517286,"score_gpt":0.1870501283758427,"score_spread":0.1784520088806698,"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."}}