{"id":"W2537943216","doi":"10.1016/j.enzmictec.2016.10.010","title":"Optimization of oligomeric enzyme activity in ionic liquids using Rhodotorula glutinis yeast phenylalanine ammonia lyase","year":2016,"lang":"en","type":"article","venue":"Enzyme and Microbial Technology","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Cape Breton University; Dalhousie University","funders":"Human Resources and Skills Development Canada; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Ionic liquid; Hexafluorophosphate; Substrate (aquarium); Chemistry; Rhodotorula; Tetrafluoroborate; Biocatalysis; Phenylalanine ammonia-lyase; Aqueous solution; Organic chemistry; Nuclear chemistry; Yeast; Inorganic chemistry; Catalysis; Enzyme; Biochemistry","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":[0.00008743675,0.0001325669,0.0002007423,0.0003325652,0.00003217478,0.000005446078,0.00008882266,0.0002498536,0.00005404091],"category_scores_gemma":[0.00001897307,0.0001115023,0.00002867835,0.0003698854,0.0001485475,0.0001029184,0.00006639902,0.0001178999,0.000007848054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006497936,"about_ca_system_score_gemma":0.00001767067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004255649,"about_ca_topic_score_gemma":0.00001095792,"domain_scores_codex":[0.9993339,0.00002018541,0.0001855325,0.0002075467,0.00004167173,0.0002111767],"domain_scores_gemma":[0.9997111,0.000008378934,0.00005169417,0.000173421,0.00002540271,0.00003001901],"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":[0.00003493059,0.00003394081,0.0002045689,0.00004976247,0.00001125004,0.000002481778,0.00002433692,0.0009159541,0.9929148,0.00005559142,0.0001243151,0.005628049],"study_design_scores_gemma":[0.0008483689,0.00007125954,0.0001064065,0.00006175032,0.00001068458,0.00004169349,0.00002364492,0.003381139,0.9922286,0.00003058677,0.003033211,0.0001627125],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864415,0.0003660283,0.0121581,0.0003442899,0.0002834558,0.0001396194,0.00001521647,0.0002037487,0.00004807411],"genre_scores_gemma":[0.996666,0.0003874932,0.002780781,0.0000129129,0.00005739689,0.000003354447,0.000002572129,0.0000186633,0.00007083346],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01022453,"threshold_uncertainty_score":0.4546931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009286978126338642,"score_gpt":0.2110186805232871,"score_spread":0.2017317023969485,"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."}}