{"id":"W4393386064","doi":"10.1016/j.jhazmat.2024.134194","title":"Quantitative and rapid detection of nanoplastics labeled by luminescent metal phenolic networks using surface-enhanced Raman scattering","year":2024,"lang":"en","type":"article","venue":"Journal of Hazardous Materials","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Life Sciences Institute; Natural Sciences and Engineering Research Council of Canada; University of British Columbia","keywords":"Context (archaeology); Raman scattering; Raman spectroscopy; Materials science; Nanotechnology; Rhodamine B; Rhodamine; Chemistry; Fluorescence; Organic chemistry; Optics","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":[0.0003118663,0.0005495771,0.0001800412,0.0002856655,0.0002166897,0.0003983074,0.000454364,0.0004893678,0.0006443936],"category_scores_gemma":[0.0003871593,0.0002905908,0.0002052441,0.0001632902,0.0003125604,0.0004919058,0.0003318875,0.0005221817,0.0004154322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003146497,"about_ca_system_score_gemma":0.0002014889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003730827,"about_ca_topic_score_gemma":0.00108121,"domain_scores_codex":[0.9996564,0.00005910421,0.00001233073,0.0001111085,0.0001125026,0.00004863941],"domain_scores_gemma":[0.9997683,0.00008643505,0.00004483169,0.00003059741,0.00005128061,0.000018645],"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":[0.00002465151,0.000009674332,0.00006494064,0.000019917,0.000003093846,0.00001342001,0.00001024824,0.0001018531,0.9982483,0.00007864003,0.00002670244,0.001398636],"study_design_scores_gemma":[0.000001754786,0.00003064553,0.0002539849,0.000001439557,0.000003000181,0.0000214267,0.000008579352,0.001872833,0.9974711,0.00003056215,0.0003016289,0.000003075548],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8581843,0.001287796,0.1357925,0.0001719431,0.00007877227,0.0001040748,0.0004959667,0.0007217905,0.003163044],"genre_scores_gemma":[0.9055247,0.0008470951,0.08934902,0.00009164091,0.00002479623,0.0001079249,0.0003947822,0.00006933277,0.003590759],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006443936,"threshold_uncertainty_score":0.002282977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0107169080511068,"score_gpt":0.2300778665530472,"score_spread":0.2193609585019404,"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."}}