{"id":"W4388753931","doi":"10.1016/j.ijbiomac.2023.128207","title":"Determination of thiram in fruit juices using a bacterial cellulose nanocrystal-based SERS substrate","year":2023,"lang":"en","type":"article","venue":"International Journal of Biological Macromolecules","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"China Scholarship Council; McGill University","keywords":"Thiram; Chemistry; Colloidal gold; Cellulose; Detection limit; Residue (chemistry); Substrate (aquarium); Nanocrystal; Pesticide residue; Nanoparticle; Nanotechnology; Chromatography; Pesticide; Materials science; Biochemistry; Biology","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":[0.0002276455,0.0001016576,0.0001853321,0.0002870524,0.00001120071,0.00003429225,0.0001940662,0.0001122036,0.00005100145],"category_scores_gemma":[0.00008547412,0.00007950157,0.0001245193,0.0002157458,0.00006268339,0.00008645017,0.00002142228,0.0001401091,0.000004689125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006230565,"about_ca_system_score_gemma":0.00001939999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000937707,"about_ca_topic_score_gemma":0.000009012191,"domain_scores_codex":[0.9990453,0.00005064833,0.0004658502,0.00008792625,0.0002161848,0.0001341612],"domain_scores_gemma":[0.9995275,0.00009221477,0.0001529204,0.00004134431,0.0001423555,0.00004366588],"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":[0.0001163317,0.00004478051,0.001093822,0.00001821479,0.00003308685,0.0002065536,0.00002999782,0.00601843,0.988117,0.00008829967,0.000008777512,0.00422472],"study_design_scores_gemma":[0.001079218,0.0002590276,0.01755548,0.0002327144,0.00002006647,0.00007360064,0.00009568747,0.2437898,0.7342244,0.002271463,0.0001745114,0.0002240725],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956446,0.00003648999,0.003502118,0.00008931768,0.0005476475,0.0000395492,0.00001980508,0.00002913279,0.00009137653],"genre_scores_gemma":[0.9984927,0.00005581447,0.001298056,0.00001718567,0.0001122261,7.943954e-7,0.00000974061,0.000008237767,0.00000524797],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2538926,"threshold_uncertainty_score":0.324198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02824746468316585,"score_gpt":0.2675328376333657,"score_spread":0.2392853729501998,"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."}}