{"id":"W3046537151","doi":"10.22215/etd/2020-14101","title":"Secret arsenal of a cereal killer- cryptic activation of secondary metabolism biosynthesis in Fusarium graminearum","year":2020,"lang":"en","type":"dissertation","venue":"","topic":"Mycotoxins in Agriculture and Food","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Trichothecene; Secondary metabolism; Biology; Secondary metabolite; Transcriptome; Gene; Fusarium; Mycotoxin; Genome; Metabolomics; Genetics; Transcription factor; Biosynthesis; Gene expression; Biotechnology; Bioinformatics","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":[0.00007105179,0.0001888614,0.00009397539,0.000103093,0.000151348,0.0002942878,0.00006201684,0.000144576,0.002062005],"category_scores_gemma":[0.0000487533,0.00005275128,0.0001707931,0.0001018694,0.00005980472,0.0001418388,0.0001866827,0.0002331192,0.0006373628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002617654,"about_ca_system_score_gemma":0.0001939123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006403527,"about_ca_topic_score_gemma":0.0008368152,"domain_scores_codex":[0.9999764,0.000002309507,0.000001070733,0.000005619775,0.000006768317,0.000007797599],"domain_scores_gemma":[0.9999763,0.000002258698,0.000004382791,0.000002194594,0.00000568049,0.000009120454],"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":[0.0001223073,0.00002366999,0.0003013975,0.00004190078,0.000002223146,0.0001050528,0.00002229521,0.00008786462,0.9925217,0.000295936,0.0002550826,0.006220416],"study_design_scores_gemma":[0.00004965469,0.0006233539,0.03581185,0.00005543572,0.00002565211,0.0008176083,0.000248488,0.0009988439,0.9240764,0.0008588906,0.03641962,0.00001415606],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9642178,0.006453762,0.003118758,0.0006241974,0.0001134845,0.00003608616,0.001181591,0.0001208798,0.02413343],"genre_scores_gemma":[0.9716206,0.003357237,0.001707801,0.0001330877,0.00002179741,0.00002055312,0.001906172,0.00002558416,0.02120719],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002062005,"threshold_uncertainty_score":0.006898046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01177589546782485,"score_gpt":0.2066758161585028,"score_spread":0.1948999206906779,"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."}}