{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001628016,0.0005697531,0.0002703405,0.0002946244,0.0001918563,0.0003942438,0.0003453585,0.0003572885,0.0009141305],"category_scores_gemma":[0.0001949958,0.0001244538,0.0003370214,0.0002741756,0.000186453,0.0002142509,0.0004920768,0.0006109367,0.000329785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002621821,"about_ca_system_score_gemma":0.0002057695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007045348,"about_ca_topic_score_gemma":0.0008062464,"domain_scores_codex":[0.9998459,0.00002597282,0.00002202204,0.00003730076,0.00003919446,0.00002961658],"domain_scores_gemma":[0.999861,0.00001606016,0.00004443385,0.00002683485,0.00001908093,0.00003253269],"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":[0.0000411131,0.00002591346,0.0003807279,0.00001749418,0.000006751137,0.00009663832,0.000009896583,0.00009951102,0.9974915,0.00006633472,0.00002489553,0.001739267],"study_design_scores_gemma":[0.00003077371,0.0005180253,0.02421968,0.0000269025,0.00006193695,0.002366601,0.0001731886,0.003419247,0.9614261,0.000210735,0.007511502,0.00003528465],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881635,0.0004226427,0.008235365,0.0001954529,0.00004004851,0.00008486269,0.0006511347,0.0002046567,0.002002293],"genre_scores_gemma":[0.9881899,0.0003828085,0.007918338,0.00009737306,0.000008558723,0.00004178716,0.0009019378,0.00007188959,0.002387318],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009141305,"threshold_uncertainty_score":0.003058076,"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."}}