{"id":"W2579550050","doi":"10.1080/10242422.2016.1266617","title":"Optimization of simultaneous production of tyrosinase and laccase by<i>Neurospora crassa</i>","year":2017,"lang":"en","type":"article","venue":"Biocatalysis and Biotransformation","topic":"melanin and skin pigmentation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Ministry of Science Research and Technology; National Institute for Genetic Engineering and Biotechnology","keywords":"Laccase; Neurospora crassa; Tyrosinase; Chemistry; Crassa; Biochemistry; Enzyme; Catechol oxidase; Food science; Polyphenol oxidase; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002539064,0.0007867564,0.000508328,0.0002573058,0.0001805089,0.0006804029,0.0003373507,0.0002884769,0.0003889604],"category_scores_gemma":[0.0001936305,0.0001964848,0.0005019067,0.0003727393,0.0001963705,0.0002225753,0.0003045015,0.0004226765,0.0002550602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005482942,"about_ca_system_score_gemma":0.0004064975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003075238,"about_ca_topic_score_gemma":0.005155339,"domain_scores_codex":[0.9996592,0.00004266005,0.00005221517,0.00008705505,0.0000934621,0.00006546795],"domain_scores_gemma":[0.999903,0.00001150571,0.00002828916,0.00001159969,0.00002113106,0.00002455762],"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":[0.00008285582,0.00004530181,0.0002748914,0.00004940974,0.00000918201,0.00003848849,0.00000965202,0.0002417529,0.9977561,0.0000247223,0.0000421936,0.001425432],"study_design_scores_gemma":[0.000008470408,0.0003144086,0.003036205,0.000009124233,0.00002591354,0.00005683475,0.00002991199,0.001225753,0.9935914,0.0000165453,0.001675402,0.000009968955],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946678,0.0007955986,0.002103053,0.00007383822,0.00002392289,0.00006856478,0.0004891651,0.0001023002,0.001675815],"genre_scores_gemma":[0.9902298,0.0007784748,0.006561236,0.0000405441,0.000005066835,0.00007473391,0.000898444,0.00003930624,0.001372345],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003075238,"threshold_uncertainty_score":0.006114662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005958450793200485,"score_gpt":0.2330816577654352,"score_spread":0.2271232069722347,"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."}}