{"id":"W4385296586","doi":"10.1016/j.btre.2023.e00809","title":"A high throughput screening process and quick isolation of novel lignin-degrading microbes from large number of natural biomasses","year":2023,"lang":"en","type":"article","venue":"Biotechnology Reports","topic":"Enzyme-mediated dye degradation","field":"Agricultural and Biological Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Lakehead University","funders":"National Research Council Canada; National Research Council; Lakehead University","keywords":"Laccase; Mucor; Microbiology; Biology; Microorganism; Trametes versicolor; Lignin; Enterobacter; Trichoderma; Aspergillus; Xylanase; Food science; Bacteria; Enzyme; Botany; Biochemistry; Escherichia coli; Gene","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0005765381,0.000894297,0.0007500902,0.0007330799,0.0003717184,0.0006700787,0.000488015,0.000519125,0.0008090601],"category_scores_gemma":[0.0005949492,0.0002781874,0.0005741912,0.0006002606,0.0002743403,0.0005472229,0.0007313521,0.0005232847,0.0006877761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002038763,"about_ca_system_score_gemma":0.0005629059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007224087,"about_ca_topic_score_gemma":0.001710049,"domain_scores_codex":[0.9991173,0.0001406154,0.0000672637,0.0001877917,0.0003956057,0.00009126522],"domain_scores_gemma":[0.9996984,0.00009911251,0.0000544546,0.00005087644,0.00005600343,0.00004113559],"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":[0.00005185471,0.0001358081,0.0008839715,0.00007061164,0.00001495304,0.00007981274,0.00001898009,0.0001861524,0.9863702,0.00006578955,0.00008743855,0.01203444],"study_design_scores_gemma":[0.00005380335,0.0009193413,0.02003801,0.0000216229,0.00008505222,0.0009012176,0.00006771984,0.00539177,0.9685224,0.0001781388,0.003780021,0.0000408539],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6654268,0.002233413,0.3240059,0.0003467594,0.00008923945,0.001542807,0.002281935,0.0009317886,0.003141437],"genre_scores_gemma":[0.723442,0.002174903,0.2641455,0.0001641397,0.00005152417,0.001564005,0.003403991,0.0000545277,0.004999431],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000894297,"threshold_uncertainty_score":0.003049076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01486169305484871,"score_gpt":0.2539567283298279,"score_spread":0.2390950352749791,"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."}}