{"id":"W3118643943","doi":"10.1093/genetics/iyaa049","title":"Modulation of the complex regulatory network for methionine biosynthesis in fungi","year":2021,"lang":"en","type":"article","venue":"Genetics","topic":"Polyamine Metabolism and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Concordia University; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Biology; Genetics; Methionine; Biosynthesis; Gene; Computational biology; Amino acid","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001277875,0.0002518837,0.0001461286,0.0001569222,0.0001890051,0.0004456957,0.0002075236,0.0001747118,0.001033666],"category_scores_gemma":[0.0001746006,0.0001253936,0.0001166612,0.00012151,0.0002314155,0.0002770878,0.000293884,0.0002698859,0.0002470446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005020308,"about_ca_system_score_gemma":0.0002745717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00110699,"about_ca_topic_score_gemma":0.002008043,"domain_scores_codex":[0.999874,0.00002098593,0.000007257513,0.00004744667,0.00003074146,0.00001955037],"domain_scores_gemma":[0.9999012,0.00002027812,0.00002983378,0.0000117035,0.00001133915,0.0000256577],"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":[0.00007143206,0.000008405263,0.0003025909,0.00001588008,0.000001874044,0.00003187083,0.00001009496,0.0002389943,0.9967957,0.0004997714,0.00002930842,0.001994061],"study_design_scores_gemma":[0.00006244177,0.0002250837,0.02594998,0.00002598082,0.00002913554,0.0003971244,0.00009171642,0.01298953,0.9489027,0.001533825,0.009771938,0.00002059354],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9859824,0.002114367,0.009134219,0.0001792063,0.00003047511,0.00002188347,0.0002383042,0.0001487901,0.00215045],"genre_scores_gemma":[0.9931226,0.0006575143,0.004486337,0.00004423671,0.000008299246,0.00001934248,0.0002090213,0.00001550626,0.001437146],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00110699,"threshold_uncertainty_score":0.003642559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02148834747616008,"score_gpt":0.2650138266182077,"score_spread":0.2435254791420476,"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."}}