{"id":"W1967250549","doi":"10.1061/(asce)hz.2153-5515.0000264","title":"Nanomaterials in Surface Water and Sediments: Fate and Analytical Challenges","year":2014,"lang":"en","type":"article","venue":"Journal of Hazardous Toxic and Radioactive Waste","topic":"Nanoparticles: synthesis and applications","field":"Materials Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada; Centre Eau Terre Environnement, Institut National de la Recherche Scientifique","keywords":"Biomagnification; Environmental chemistry; Compartmentalization (fire protection); Nanomaterials; Environmental science; Contamination; Trophic level; Inductively coupled plasma mass spectrometry; Chemistry; Nanotechnology; Mass spectrometry; Materials science; Biology; Bioaccumulation; Ecology; Chromatography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00134028,0.0005826778,0.0008841038,0.001073681,0.0005064399,0.001413354,0.0006501826,0.001391929,0.0007080525],"category_scores_gemma":[0.0008844538,0.0002993694,0.0005393189,0.0009147583,0.0007368883,0.001213437,0.0006313701,0.0007466965,0.0005925868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005922139,"about_ca_system_score_gemma":0.00108419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001389234,"about_ca_topic_score_gemma":0.002438219,"domain_scores_codex":[0.9991912,0.0001900168,0.0000687534,0.0002010652,0.0002918846,0.0000571518],"domain_scores_gemma":[0.999422,0.0002363706,0.00008162428,0.00003341277,0.0002054004,0.00002122152],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001665955,0.0001510059,0.01270015,0.01726859,0.0002700903,0.00233572,0.0008383853,0.005480123,0.3431891,0.01170246,0.004902411,0.6009955],"study_design_scores_gemma":[0.00002074047,0.00104944,0.0266302,0.003474108,0.0005712465,0.01067203,0.004797987,0.009725019,0.4200473,0.04352068,0.4792583,0.0002329453],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1196903,0.7947882,0.06540807,0.006422502,0.0007599831,0.0001376105,0.0006826756,0.0001500573,0.01196067],"genre_scores_gemma":[0.261265,0.6935332,0.03493189,0.001506659,0.0007390768,0.0001736864,0.0004544804,0.00006244033,0.007333557],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001413354,"threshold_uncertainty_score":0.007088184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01657504853624133,"score_gpt":0.247374763025338,"score_spread":0.2307997144890967,"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."}}