{"id":"W2625459248","doi":"10.1039/c7ay00615b","title":"Evaluation of enhanced darkfield microscopy and hyperspectral analysis to analyse the fate of silver nanoparticles in wastewaters","year":2017,"lang":"en","type":"article","venue":"Analytical Methods","topic":"Nanoparticles: synthesis and applications","field":"Materials Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hyperspectral imaging; Microscopy; Silver nanoparticle; Dark field microscopy; Biosolids; Nanoparticle; Nanotoxicology; Nanotechnology; Materials science; Chemistry; Environmental science; Optics; Remote sensing; Physics; Environmental engineering; Geology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005086523,0.000089307,0.0003455058,0.0001249149,0.0001127668,0.00006376069,0.0003177271,0.00003895545,0.000142724],"category_scores_gemma":[0.001205262,0.00005948121,0.00009776914,0.0004047987,0.0002636769,0.00009846775,0.00009617522,0.00004516661,0.000004670717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002411919,"about_ca_system_score_gemma":0.00003463923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003887316,"about_ca_topic_score_gemma":0.0001909465,"domain_scores_codex":[0.9983221,0.0004996203,0.0003987021,0.0002670533,0.0003223953,0.000190091],"domain_scores_gemma":[0.9985544,0.0003673398,0.0001793271,0.0006485573,0.0001766257,0.00007377068],"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":[0.00002312013,0.00005441977,0.002760708,0.000004162251,0.0000835568,1.235305e-7,0.0003955415,0.0006791995,0.9879525,0.0007025725,0.00000322912,0.00734087],"study_design_scores_gemma":[0.0001610732,0.00003214993,0.04999071,0.00001089043,0.001128914,1.480369e-7,0.000387116,0.0190931,0.9277833,0.001343547,0.000003299892,0.00006574076],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942186,0.00006242946,0.00440344,0.0008854424,0.00002083403,0.0001774818,0.000006484968,0.00000428814,0.000220966],"genre_scores_gemma":[0.9519885,0.000008110041,0.04792533,0.00002757493,0.000009258911,0.00002470355,3.070443e-7,0.000004270537,0.00001190858],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06016918,"threshold_uncertainty_score":0.2425573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07299680334359185,"score_gpt":0.4368632452066891,"score_spread":0.3638664418630972,"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."}}