{"id":"W2380085497","doi":"10.4137/ebo.s32694","title":"Phylogenetic and Structural Analysis of Polyketide Synthases in <i>Aspergilli</i>","year":2016,"lang":"en","type":"article","venue":"Evolutionary Bioinformatics","topic":"Microbial Natural Products and Biosynthesis","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Innovation Cluster (Canada)","funders":"","keywords":"Aspergillus terreus; Polyketide; Aspergillus; Biology; Aspergillus oryzae; Phylogenetic tree; Aspergillus nidulans; Aspergillus flavus; Phylogenetics; Aspergillus versicolor; In silico; Aspergillus fumigatus; Aspergillus niger; Enzyme; Biochemistry; Microbiology; Biosynthesis; Gene; Mutant","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001010132,0.0001096454,0.000313152,0.0003903327,0.00003111553,0.000003839931,0.0000554552,0.00006555321,0.0001602431],"category_scores_gemma":[0.0001810846,0.00006232879,0.0000831727,0.0006395901,0.0001612768,0.0001146872,0.00004434838,0.00004926525,0.00000560555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004675522,"about_ca_system_score_gemma":0.0000410258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003663516,"about_ca_topic_score_gemma":0.00002020515,"domain_scores_codex":[0.9991589,0.0000164997,0.0003981484,0.0001128757,0.0001514872,0.0001621199],"domain_scores_gemma":[0.9994675,0.00009782345,0.0001087942,0.0001908656,0.00007188535,0.00006313813],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005195196,0.0001502688,0.5594935,0.0005035963,0.00134841,0.0000167317,0.0005539033,0.00007148426,0.3277386,0.0009297219,0.002366262,0.1063081],"study_design_scores_gemma":[0.000610648,0.0001317662,0.9736774,0.0001695616,0.0005527986,0.00004978779,0.00009997084,0.005356614,0.01831405,0.00008110818,0.0007920993,0.0001642113],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971257,0.001093015,0.00005526331,0.001044861,0.00004301854,0.0001465867,0.0001390906,0.00001462825,0.0003377638],"genre_scores_gemma":[0.9945555,0.000370201,0.004716843,0.0001339879,0.00002784473,4.229346e-7,0.00002141635,0.000004612798,0.0001691927],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4141839,"threshold_uncertainty_score":0.2541694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008184873831483589,"score_gpt":0.2290451431444264,"score_spread":0.2208602693129429,"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."}}