{"id":"W3171814294","doi":"10.3390/app11115150","title":"Metagenomic Discovery and Characterization of Multi-Functional and Monomodular Processive Endoglucanases as Biocatalysts","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council; Agriculture and Agri-Food Canada; University of Guelph; Ministry of Agriculture, Food and Rural Affairs; Ontario Ministry of Agriculture, Food and Rural Affairs; Swine Innovation Porc","keywords":"Cellulase; Thermotoga maritima; Xylan; Cellulose; Lignocellulosic biomass; Chemistry; Cell wall; Biochemistry; Gene","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003643297,0.00052597,0.0005943782,0.0009144743,0.0001929948,0.0007689049,0.0002767285,0.0004464362,0.0005392295],"category_scores_gemma":[0.0004104264,0.0001994842,0.0006006242,0.0013264,0.0001656779,0.0004094866,0.000458724,0.0006236798,0.0005387777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002757104,"about_ca_system_score_gemma":0.0004090049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008005934,"about_ca_topic_score_gemma":0.00120707,"domain_scores_codex":[0.9997236,0.00002188703,0.00001878088,0.000080317,0.00008651258,0.0000688369],"domain_scores_gemma":[0.9997979,0.00003480352,0.0000485799,0.00002102588,0.00006033161,0.00003736285],"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":[0.0001060062,0.00004602839,0.001920764,0.00007511875,0.00002342955,0.00007883798,0.00005849931,0.0001672336,0.9917266,0.000104,0.0001028919,0.005590503],"study_design_scores_gemma":[0.00005143113,0.001016676,0.1684424,0.00008995044,0.0004180823,0.001372254,0.0009591348,0.009307212,0.7944803,0.0007083735,0.02308638,0.00006781507],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9652289,0.00222108,0.01327175,0.0003244368,0.0000467015,0.0001492522,0.0162536,0.0001461268,0.002358078],"genre_scores_gemma":[0.9327466,0.003004512,0.02258941,0.0003832782,0.00004600375,0.0002002767,0.03599588,0.0001311171,0.004902883],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009144743,"threshold_uncertainty_score":0.002000451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01612643078767259,"score_gpt":0.2035280700559455,"score_spread":0.1874016392682729,"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."}}