{"id":"W3175340907","doi":"10.1002/elan.202100223","title":"Recent Advances in Electrochemical Sensors for Mycotoxin Detection in Food","year":2021,"lang":"en","type":"article","venue":"Electroanalysis","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Agriculture","funders":"National Natural Science Foundation of China","keywords":"Mycotoxin; Food safety; Miniaturization; Computer science; Nanotechnology; Biochemical engineering; Human health; Biotechnology; Environmental science; Risk analysis (engineering); Business; Materials science; Food science; Chemistry; Biology; Engineering; Medicine; Environmental health","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002176596,0.0001750752,0.0002897269,0.0001928759,0.00004264505,0.0000166002,0.00009205408,0.0001731535,0.000003924194],"category_scores_gemma":[0.0003031507,0.0001770382,0.0001997753,0.001008473,0.00002773193,0.000007587639,0.00002880254,0.0001498543,6.635619e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009700584,"about_ca_system_score_gemma":0.00006355163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002616195,"about_ca_topic_score_gemma":0.003408525,"domain_scores_codex":[0.998496,0.00009476027,0.0003273725,0.0005613136,0.0001230722,0.0003974728],"domain_scores_gemma":[0.9994135,0.00002545249,0.00008806883,0.0002787174,0.0001489898,0.00004526302],"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":[0.0001233243,0.00008728167,0.0004780523,0.000006928875,0.00006729252,0.000002634997,0.000005260722,0.00004303868,0.9565948,0.00001130271,0.00002189279,0.0425582],"study_design_scores_gemma":[0.0003570996,0.0002455864,0.0001269775,0.000007968347,0.00004418079,0.00001303716,0.00003621334,0.0005448209,0.9648719,0.0004201885,0.03312133,0.000210641],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9726587,0.01302456,0.01351071,0.000317752,0.00002180115,0.0001817508,0.000006487042,0.00003171188,0.0002465151],"genre_scores_gemma":[0.9840169,0.01258932,0.002747098,0.0001411019,0.00009137575,0.00005341827,0.0001759109,0.00001916372,0.0001657104],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04234756,"threshold_uncertainty_score":0.7219409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005653259051298951,"score_gpt":0.2623395087175476,"score_spread":0.2566862496662487,"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."}}