{"id":"W4205946547","doi":"10.1186/s13068-022-02107-z","title":"Activity-based protein profiling reveals dynamic substrate-specific cellulase secretion by saprotrophic basidiomycetes","year":2022,"lang":"en","type":"article","venue":"Biotechnology for Biofuels and Bioproducts","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Research Council; Biotechnology and Biological Sciences Research Council; Engineering and Physical Sciences Research Council; Natural Sciences and Engineering Research Council of Canada; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; U.S. Department of Agriculture; Agence Nationale de la Recherche; Royal Society; Directorate for Biological Sciences","keywords":"Cellulase; Lignocellulosic biomass; Glucanase; Biochemistry; Glycoside hydrolase; Enzyme; Secretory protein; Chemistry; Secretion; Hydrolysis; Beta-glucosidase; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003980313,0.0003382514,0.0002951593,0.000327388,0.0004943021,0.00004631704,0.0002403105,0.0003855376,0.0000500842],"category_scores_gemma":[0.00002127223,0.0003323066,0.00008639861,0.0005903631,0.0002083511,0.0001097225,0.00009238245,0.0005042781,0.000009049989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001424248,"about_ca_system_score_gemma":0.00003062714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000576535,"about_ca_topic_score_gemma":6.321264e-7,"domain_scores_codex":[0.9981666,0.00005010658,0.0002883871,0.0008104059,0.0001861303,0.0004983382],"domain_scores_gemma":[0.99928,0.0000122095,0.0001100643,0.0004667841,0.0000488209,0.00008215712],"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":[0.0001307961,0.00009076811,0.00004386964,0.000582184,0.00002324627,0.000003712442,0.000009236224,0.00004062273,0.9895097,0.0002304111,0.0004660644,0.008869373],"study_design_scores_gemma":[0.0007003081,0.0004495919,0.00004126163,0.00001717469,0.00001629669,0.00002294035,0.00007701718,0.00392918,0.9475573,0.0005874826,0.04618039,0.000421077],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9858244,0.004415057,0.001042642,0.004806092,0.0005866157,0.002024994,0.0003879441,0.0008997906,0.00001246368],"genre_scores_gemma":[0.996251,0.0002877736,0.002270536,0.00004692169,0.00009127257,0.0004419052,0.0003063878,0.00005809232,0.0002460399],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04571432,"threshold_uncertainty_score":0.9999129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0100283884479031,"score_gpt":0.1965825489437787,"score_spread":0.1865541604958756,"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."}}