{"id":"W4381056922","doi":"10.1016/j.trac.2023.117144","title":"Current trends in biosensors for biotoxins (mycotoxins, marine toxins, and bacterial food toxins):principles, application, and perspective","year":2023,"lang":"en","type":"article","venue":"TrAC Trends in Analytical Chemistry","topic":"Bacillus and Francisella bacterial research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":87,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of Agriculture","funders":"Agricultural Science and Technology Innovation Program; National Natural Science Foundation of China","keywords":"Marine toxin; Food safety; Biochemical engineering; Mycotoxin; Risk analysis (engineering); Biotechnology; Computer science; Environmental science; Biology; Business; Engineering; Food science; Microbiology; Toxin","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003435615,0.0002985671,0.0003693744,0.0002759409,0.00006937808,0.00006042519,0.0002009516,0.0003175134,0.0001198873],"category_scores_gemma":[0.0001708746,0.0002982722,0.0001155773,0.0007739839,0.0002393811,0.000009868882,0.0002497274,0.0002573183,0.000003297997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008561411,"about_ca_system_score_gemma":0.00005294161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004816618,"about_ca_topic_score_gemma":0.0004617288,"domain_scores_codex":[0.9979265,0.00003592659,0.0004266672,0.000863903,0.0001812616,0.0005657356],"domain_scores_gemma":[0.9991947,0.00005159446,0.00006764678,0.0003640937,0.00007637351,0.0002455264],"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":[0.001017643,0.0004472497,0.006728271,0.000186088,0.00008796048,0.000009650112,0.0001236025,0.00001514285,0.8951467,0.001283295,0.0009911888,0.09396321],"study_design_scores_gemma":[0.0137118,0.001300452,0.3836596,0.0001307947,0.0001350165,0.00006000018,0.0007004153,0.01214748,0.4226269,0.001291156,0.1619466,0.002289726],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958719,0.0003904954,0.00004219149,0.0005502324,0.00006154551,0.000172575,0.000338484,0.00002941449,0.002543166],"genre_scores_gemma":[0.996206,0.0007409849,0.000136819,0.00001589548,0.000359629,0.0001093653,0.0009952619,0.00003692899,0.001399121],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4725198,"threshold_uncertainty_score":0.999947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02955599392220248,"score_gpt":0.3235368953767507,"score_spread":0.2939809014545482,"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."}}