{"id":"W4403001228","doi":"10.1016/j.jhazmat.2024.136004","title":"Selective on-site detection and quantification of polystyrene microplastics in water using fluorescence-tagged peptides and electrochemical impedance spectroscopy","year":2024,"lang":"en","type":"article","venue":"Journal of Hazardous Materials","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Microplastics; Dielectric spectroscopy; Polystyrene; Fluorescence; Fluorescence spectroscopy; Chemistry; Environmental chemistry; Electrochemistry; Organic chemistry; Electrode","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":[0.0003932175,0.0001162933,0.0002266266,0.0001219374,0.00004374257,0.00006975253,0.00004711059,0.00006695892,0.00004306835],"category_scores_gemma":[0.00006940634,0.00008491994,0.00002388938,0.0000991278,0.0000987325,0.0001200353,0.00003081635,0.0001223388,0.000007387783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001446455,"about_ca_system_score_gemma":0.00002015521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006575722,"about_ca_topic_score_gemma":0.00002757127,"domain_scores_codex":[0.999019,0.00006250641,0.0004142848,0.000163987,0.0001579331,0.0001823441],"domain_scores_gemma":[0.9996435,0.00008370414,0.0001521553,0.00005455489,0.00001841153,0.0000476739],"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":[0.0002870353,0.00002536077,0.0005936589,0.0000480478,0.00001318352,0.000009343039,0.0002514698,0.0001256959,0.9983255,0.00001432752,0.00001497653,0.0002914513],"study_design_scores_gemma":[0.0002174931,0.0002655767,0.006459473,0.0001692629,0.00003394738,0.0002352875,0.00001582083,0.00207877,0.9901497,0.0002611016,0.00002421266,0.00008936239],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939482,0.0001250234,0.005503377,0.00002686654,0.0002910883,0.00007699043,0.00001303775,0.000004938274,0.00001043537],"genre_scores_gemma":[0.9979506,0.000168746,0.001774513,0.00000604489,0.00008084319,7.241424e-7,0.00000140327,0.00001100391,0.000006135453],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008175757,"threshold_uncertainty_score":0.3462934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007325274900537851,"score_gpt":0.2279960245389685,"score_spread":0.2206707496384306,"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."}}