{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004959959,0.0001805682,0.0002956248,0.0001302758,0.00003745144,0.00003854972,0.0002882708,0.0001834003,0.00008202842],"category_scores_gemma":[0.0001600039,0.0001457957,0.0002818347,0.0001687788,0.00006182949,0.00001221307,0.00007028464,0.0001450546,0.000004006242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000219702,"about_ca_system_score_gemma":0.000193601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000197796,"about_ca_topic_score_gemma":0.00000150572,"domain_scores_codex":[0.9987761,0.00006369051,0.0005100216,0.0002124905,0.0002160326,0.0002216448],"domain_scores_gemma":[0.9991673,0.0001200439,0.0002454943,0.0002025002,0.0001382502,0.000126419],"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":[0.0002513462,0.00008286483,0.0002776712,0.0001545398,0.0002572511,0.0002345705,0.0000363724,0.00002128045,0.9923217,0.00000925477,0.001563499,0.004789676],"study_design_scores_gemma":[0.0001800232,0.0004267212,0.0004146136,0.0002681881,0.0001311191,0.001185053,0.00008376654,0.00003764209,0.9582239,0.000008990562,0.03886705,0.00017296],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9768651,0.02092072,0.0005091276,0.0001120504,0.0003544505,0.00005359793,0.000170631,0.000009064647,0.00100528],"genre_scores_gemma":[0.9957892,0.001610192,0.001262502,0.00006382437,0.0005930889,0.000001597414,0.00002879661,0.00001961353,0.0006311899],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03730355,"threshold_uncertainty_score":0.5945377,"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."}}