{"id":"W2230300876","doi":"10.1016/b978-1-78242-285-3.00007-7","title":"Detection of pesticides in foods by enzymatic biosensors","year":2015,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Electrochemical sensors and biosensors","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Biosensor; Pesticide; Substrate (aquarium); Chemistry; Contamination; Nanotechnology; Biochemical engineering; Materials science; Biology; Biochemistry; Engineering; Ecology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002349003,0.001239013,0.0005440327,0.001010839,0.0001706897,0.001308661,0.001154904,0.001059181,0.009703952],"category_scores_gemma":[0.000210661,0.0006084444,0.0004225311,0.001188844,0.0004183624,0.001663337,0.0006130262,0.001191304,0.0135764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000489312,"about_ca_system_score_gemma":0.0002385478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005370342,"about_ca_topic_score_gemma":0.0009321345,"domain_scores_codex":[0.9997271,0.00001194081,0.0000126933,0.00005591277,0.0001745593,0.00001774417],"domain_scores_gemma":[0.99994,0.00002307496,0.000005688361,0.000006184559,0.00002064351,0.000004309595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004082757,0.0001288644,0.0001648835,0.001252797,0.00002324231,0.0002202429,0.00009670287,0.0009392284,0.3669845,0.01653372,0.01890272,0.5947123],"study_design_scores_gemma":[0.000007965865,0.0001134811,0.0004725961,0.0002330059,0.00002306156,0.00100831,0.00005926193,0.001727885,0.2601376,0.008823701,0.7273594,0.00003372897],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02028154,0.3326565,0.2318453,0.002445393,0.003561924,0.0001914279,0.000937324,0.00174285,0.4063377],"genre_scores_gemma":[0.04408025,0.2209253,0.08383529,0.001264437,0.0006161062,0.0001407598,0.001144113,0.0002762942,0.6477174],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009703952,"threshold_uncertainty_score":0.03246301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01161157289954695,"score_gpt":0.2091550426307613,"score_spread":0.1975434697312144,"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."}}