{"id":"W4399304397","doi":"10.3390/jox14020040","title":"Plastic Analysis with a Plasmonic Nano-Gold Sensor Coated with Plastic-Binding Peptides","year":2024,"lang":"en","type":"article","venue":"Journal of Xenobiotics","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Environment and Climate Change Canada","keywords":"Effluent; Polyethylene; Polypropylene; Polyethylene terephthalate; Microplastics; Polystyrene; Materials science; Plastic film; Polymer; Environmental chemistry; Environmental science; Chemistry; Composite material; Environmental engineering; Layer (electronics)","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":[0.0002888551,0.0002746434,0.0004134562,0.0003818604,0.0001149369,0.0001970585,0.0002155566,0.0001041259,0.0004932931],"category_scores_gemma":[0.0001571279,0.0001757824,0.0001389476,0.001367699,0.0002181276,0.0002409117,0.00005772256,0.0004274646,0.0002074814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003138949,"about_ca_system_score_gemma":0.0001140202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003252706,"about_ca_topic_score_gemma":0.000191281,"domain_scores_codex":[0.9981159,0.00004807339,0.000499566,0.0002757343,0.0006491595,0.0004115895],"domain_scores_gemma":[0.9983429,0.0008956027,0.0003122286,0.0001564946,0.00004862061,0.0002441894],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001403251,0.0004272846,0.1344096,0.0002157408,0.004602447,0.002996197,0.001380916,0.6169324,0.2317205,0.0004307128,0.004916578,0.0005643665],"study_design_scores_gemma":[0.007456994,0.01371677,0.2875906,0.004534253,0.02897542,0.01106484,0.002271881,0.542747,0.06660576,0.0001650336,0.03089702,0.003974429],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9677416,0.00006829624,0.03109443,0.00006255194,0.000450437,0.000074122,0.00006486402,0.00003147978,0.0004121801],"genre_scores_gemma":[0.9946343,0.00004491531,0.00474587,0.00001854921,0.00009710887,5.189228e-7,0.00000739019,0.00003308334,0.000418248],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1651147,"threshold_uncertainty_score":0.7168199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006933246699867019,"score_gpt":0.1995471401498667,"score_spread":0.1926138934499997,"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."}}