{"id":"W4396853834","doi":"10.3390/jof10050350","title":"Genome Mining of Fungal Unique Trichodiene Synthase-like Sesquiterpene Synthases","year":2024,"lang":"en","type":"article","venue":"Journal of Fungi","topic":"Plant biochemistry and biosynthesis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China; Key Technologies Research and Development Program; Higher Education Discipline Innovation Project; State Key Laboratory of Bioreactor Engineering; Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Genome; Sesquiterpene; Gene; Heterologous expression; Phylogenetic tree; Computational biology; Genetics; Botany","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":[0.0004056552,0.0005639459,0.0007677133,0.002099815,0.0003802791,0.0007215978,0.000399384,0.0004438455,0.0008099033],"category_scores_gemma":[0.0007596547,0.0002168939,0.00107167,0.002665853,0.000137585,0.000422859,0.0004476387,0.0004417931,0.0004954219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002886788,"about_ca_system_score_gemma":0.0008216109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001367571,"about_ca_topic_score_gemma":0.002405866,"domain_scores_codex":[0.999755,0.00002714205,0.00002612836,0.00009682722,0.00006083466,0.00003417752],"domain_scores_gemma":[0.9997126,0.00007405168,0.00007502783,0.00002975577,0.00005888659,0.00004959679],"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":[0.0007968923,0.0002654835,0.05836881,0.002070493,0.0003425408,0.002182822,0.0005765727,0.004925249,0.776314,0.0014863,0.003360495,0.1493104],"study_design_scores_gemma":[0.0002523997,0.001046809,0.4860807,0.0004839437,0.002043606,0.008541816,0.002192725,0.06217563,0.3072705,0.004818795,0.1248956,0.0001974903],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9245164,0.008825634,0.03163714,0.0004362429,0.00005313964,0.0002007545,0.03062842,0.0008858819,0.002816447],"genre_scores_gemma":[0.8101577,0.005987067,0.07758782,0.0002045903,0.00004064895,0.0001340112,0.1037285,0.000231398,0.001928275],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002099815,"threshold_uncertainty_score":0.002719223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01107376485007458,"score_gpt":0.2420915391815338,"score_spread":0.2310177743314592,"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."}}