{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005456361,0.001113374,0.00153144,0.001775605,0.000617541,0.00415492,0.002180631,0.002924181,0.003844921],"category_scores_gemma":[0.002458241,0.0006198281,0.0008760552,0.001774029,0.002027858,0.005966793,0.0009960689,0.003897765,0.002444816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002041945,"about_ca_system_score_gemma":0.00257303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009988615,"about_ca_topic_score_gemma":0.002446761,"domain_scores_codex":[0.9984743,0.0003184904,0.0001180606,0.0002482576,0.0006862389,0.0001546491],"domain_scores_gemma":[0.9962398,0.001555571,0.0002760492,0.00009891015,0.001535853,0.0002938674],"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":[0.0004545143,0.0005386096,0.002576102,0.01369379,0.000152328,0.0002820751,0.0004176633,0.001501812,0.1006204,0.03874828,0.02400234,0.8170121],"study_design_scores_gemma":[0.00005666866,0.001166728,0.002618823,0.002745,0.000251368,0.001661355,0.001223715,0.003503311,0.03905087,0.04215929,0.9054143,0.000148425],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002689052,0.9635639,0.01542587,0.01242919,0.0007518387,0.00002793845,0.00007608602,0.0001108937,0.004925217],"genre_scores_gemma":[0.01552633,0.9504908,0.02341148,0.005420536,0.00142389,0.00006696012,0.0001945165,0.00002561033,0.003439862],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005456361,"threshold_uncertainty_score":0.02885634,"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."}}