{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002008025,0.001025592,0.0006492829,0.001773114,0.0002095134,0.001055889,0.0007913747,0.001549629,0.001345653],"category_scores_gemma":[0.001468546,0.0006163688,0.0005542831,0.002033211,0.0003820008,0.001811294,0.0006492194,0.001210971,0.001025262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000505908,"about_ca_system_score_gemma":0.0003832231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004208552,"about_ca_topic_score_gemma":0.000669771,"domain_scores_codex":[0.9993772,0.0001341664,0.00007002172,0.0001412038,0.0002360573,0.00004137314],"domain_scores_gemma":[0.9987214,0.0006412829,0.000148952,0.00004665981,0.0003998464,0.00004182998],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001887135,0.0002808572,0.002195021,0.01478274,0.0002809832,0.0005689012,0.0002472393,0.002816607,0.2225358,0.01285999,0.01319379,0.7300494],"study_design_scores_gemma":[0.00003259654,0.0009348247,0.004404221,0.00177031,0.0004101458,0.003735665,0.0002591955,0.009863609,0.2066839,0.006582293,0.7651416,0.0001815729],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.007271066,0.9680408,0.01599013,0.001221078,0.0004857577,0.0000329007,0.00008888663,0.0000904793,0.006778956],"genre_scores_gemma":[0.05691409,0.9052789,0.02958258,0.001519147,0.001031935,0.00006786143,0.0002426661,0.00002449611,0.005338364],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002008025,"threshold_uncertainty_score":0.01061958,"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."}}