{"id":"W3196987386","doi":"10.1016/j.jhazmat.2021.127173","title":"Fungi population metabolomics and molecular network study reveal novel biomarkers for early detection of aflatoxigenic Aspergillus species","year":2021,"lang":"en","type":"article","venue":"Journal of Hazardous Materials","topic":"Mycotoxins in Agriculture and Food","field":"Agricultural and Biological Sciences","cited_by":57,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of Agriculture","funders":"Agricultural Science and Technology Innovation Program; National Key Research and Development Program of China; Chinese Academy of Agricultural Sciences; National Natural Science Foundation of China","keywords":"Aflatoxin; Metabolomics; Aspergillus flavus; Mycotoxin; Biology; Aspergillus; Metabolome; Biotechnology; Biomarker; Food safety; Computational biology; Bioinformatics; Microbiology; Food science; Genetics","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":[0.0001064203,0.000331827,0.0002019701,0.0006670271,0.0001489977,0.0003327825,0.0001139329,0.0002250785,0.0006400214],"category_scores_gemma":[0.0001284444,0.0001120982,0.0002684606,0.0004292007,0.00009282123,0.0003362132,0.0002120363,0.0002313412,0.0001248791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000188677,"about_ca_system_score_gemma":0.0001372949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008467658,"about_ca_topic_score_gemma":0.001535388,"domain_scores_codex":[0.9999232,0.000007350241,0.00000320044,0.00003310747,0.00001688716,0.00001612319],"domain_scores_gemma":[0.9999419,0.00000977113,0.00002086507,0.000003968655,0.00001208202,0.00001136513],"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":[0.0004394033,0.0001457181,0.0452871,0.00008064735,0.0001316838,0.0001475468,0.00005210596,0.001211117,0.9324093,0.0003716064,0.0002058574,0.01951787],"study_design_scores_gemma":[0.00002872387,0.0006162185,0.6361656,0.00001847419,0.000283627,0.0006550123,0.0002674449,0.05429886,0.3021604,0.002327921,0.003132714,0.00004500926],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903988,0.0007385054,0.006838151,0.0000902656,0.00001176026,0.00002146967,0.0009962439,0.00006716407,0.0008376819],"genre_scores_gemma":[0.9954557,0.0003191271,0.002743123,0.00003935097,0.000007906438,0.00001586357,0.0007171776,0.00000554641,0.0006960758],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008467658,"threshold_uncertainty_score":0.002141118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01536699114525964,"score_gpt":0.2162189084378896,"score_spread":0.20085191729263,"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."}}