{"id":"W2983200748","doi":"10.1111/jam.14505","title":"Evolutionary adaptation of <i>Aspergillus niger</i> for increased ferulic acid tolerance","year":2019,"lang":"en","type":"article","venue":"Journal of Applied Microbiology","topic":"Biochemical and biochemical processes","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Stichting voor de Technische Wetenschappen; Seventh Framework Programme; Horizon 2020 Framework Programme; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; European Commission","keywords":"Ferulic acid; Aspergillus niger; Mutant; Biology; Biochemistry; Adaptation (eye); Chemistry; Food science; Botany; Gene","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":[0.0001472053,0.0001378289,0.0003036667,0.00004311607,0.00002395563,0.000003477212,0.000233173,0.0002704072,0.00002772905],"category_scores_gemma":[0.00004525235,0.0001113581,0.0001585285,0.00007892619,0.0001127301,0.000003832356,0.00005278478,0.0001115854,0.000006032426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001589748,"about_ca_system_score_gemma":0.0001201252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002553561,"about_ca_topic_score_gemma":0.000001440048,"domain_scores_codex":[0.999098,0.000015391,0.0004440499,0.0002047462,0.0000513941,0.0001863986],"domain_scores_gemma":[0.9990853,0.00003130792,0.0003964852,0.0001407438,0.0002888984,0.00005724405],"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":[0.00151398,0.000103574,0.0001548678,0.00009126868,0.00006440336,3.135306e-7,0.00001700578,0.00005359676,0.9944365,0.00007748119,0.002717365,0.0007696338],"study_design_scores_gemma":[0.001337618,0.0004926479,0.00004811843,0.00002118214,0.00002502739,0.00006034947,0.00005868867,0.00001536458,0.9623107,0.0002566877,0.03524286,0.0001308026],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952325,0.0022382,0.001679698,0.0001010519,0.0001564665,0.0001982426,0.0000639937,0.000003434156,0.0003264458],"genre_scores_gemma":[0.9933502,0.0001219269,0.005596163,0.0004220238,0.0002384866,0.000006708804,0.0001927157,0.00001297005,0.00005880585],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0325255,"threshold_uncertainty_score":0.454105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00541725124703512,"score_gpt":0.2024755104562283,"score_spread":0.1970582592091932,"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."}}