{"id":"W2149279556","doi":"10.1128/aem.01037-07","title":"Characterization and Synergistic Interactions of <i>Fibrobacter succinogenes</i> Glycoside Hydrolases","year":2007,"lang":"en","type":"article","venue":"Applied and Environmental Microbiology","topic":"Enzyme Production and Characterization","field":"Biochemistry, Genetics and Molecular Biology","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Cooperative State Research, Education, and Extension Service; U.S. Department of Agriculture","keywords":"Fibrobacter succinogenes; Glycoside hydrolase; Chemistry; Characterization (materials science); Biochemistry; Glycoside; Biology; Microbiology; Enzyme; Stereochemistry; Nanotechnology; Materials science","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":[0.0003768882,0.0006779107,0.0005584736,0.0002937095,0.000151415,0.0003582199,0.0001834453,0.0002784071,0.000475543],"category_scores_gemma":[0.0004220908,0.0001813742,0.0004994141,0.0002616654,0.0001636877,0.000389474,0.0003803701,0.0003589689,0.0002686444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000234536,"about_ca_system_score_gemma":0.0002586127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006984574,"about_ca_topic_score_gemma":0.001048663,"domain_scores_codex":[0.999421,0.0001464402,0.00005347443,0.00008657188,0.0002106448,0.00008188203],"domain_scores_gemma":[0.9997551,0.00005683539,0.00005612996,0.00003811903,0.00004924531,0.00004458619],"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":[0.00005495699,0.00002596678,0.0005730305,0.00002114753,0.00000555038,0.000017981,0.000005986763,0.00005405571,0.9981015,0.000009608377,0.000007546407,0.001122644],"study_design_scores_gemma":[0.000006257229,0.0002396397,0.005649047,0.000004139757,0.00002516515,0.0002317139,0.00004146753,0.0006955538,0.9922277,0.00002037837,0.0008537371,0.00000509452],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937237,0.001017304,0.00428018,0.00007061078,0.00001246149,0.00003604836,0.0001972446,0.00002849059,0.0006338498],"genre_scores_gemma":[0.9894338,0.0007249909,0.008269709,0.00004458251,0.00001051967,0.00003359621,0.0006882134,0.00001697516,0.0007776878],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006984574,"threshold_uncertainty_score":0.001993239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002984900397340733,"score_gpt":0.1787748763247645,"score_spread":0.1757899759274238,"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."}}