{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006914941,0.00005877548,0.00007520966,0.0000491132,0.00007406621,0.00004246825,0.00003233992,0.000024226,0.00001415055],"category_scores_gemma":[0.000006245109,0.00004985711,0.000009429952,0.0001534212,0.0001540573,0.0001977095,0.00002602016,0.00002734245,0.000002720843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000636971,"about_ca_system_score_gemma":0.00002892408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005990393,"about_ca_topic_score_gemma":0.000001854698,"domain_scores_codex":[0.9995891,0.000004776188,0.00008281422,0.0001778142,0.00007764006,0.00006779508],"domain_scores_gemma":[0.9998737,0.000008570158,0.00002681935,0.00004751497,0.00001711508,0.00002628975],"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":[0.000002775982,0.000009319196,0.0004169546,0.00006244751,0.000009908891,4.772356e-7,0.00009199288,0.00006243239,0.9968296,0.000320153,0.000005423742,0.002188526],"study_design_scores_gemma":[0.0001471479,0.00001077852,0.01264583,0.000006179116,0.00001146187,0.00001090184,0.0003916262,0.001987763,0.9841648,0.0000821779,0.0004610007,0.00008038795],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980291,0.0005090343,0.0009793706,0.00007238346,0.0001066867,0.00006668667,0.000007327509,0.00002148002,0.0002079153],"genre_scores_gemma":[0.9992573,0.0002220343,0.0003475742,0.00003180361,0.0000260362,0.000005709938,0.00002015659,0.000003083954,0.00008627457],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01266484,"threshold_uncertainty_score":0.2033114,"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."}}