{"id":"W2083368007","doi":"10.1021/ja211836t","title":"Mechanistic Insights into the 1,3-Xylanases: Useful Enzymes for Manipulation of Algal Biomass","year":2012,"lang":"en","type":"article","venue":"Journal of the American Chemical Society","topic":"Enzyme Production and Characterization","field":"Biochemistry, Genetics and Molecular Biology","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Chemistry; Xylanase; Enzyme; Nucleophile; Reagent; Glycosyl; Substrate (aquarium); Catalysis; Xylan; Biomass (ecology); Covalent bond; Organic chemistry","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":[0.0001765679,0.00007431675,0.0001249105,0.000007568459,0.0000655521,0.000007896599,0.0001921783,0.00004298419,0.000003590576],"category_scores_gemma":[0.0001294367,0.00004157403,0.0002534612,0.000107766,0.0001414276,0.000008243384,0.00005416069,0.00007416539,3.084572e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002430853,"about_ca_system_score_gemma":0.00003030183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006842173,"about_ca_topic_score_gemma":6.280649e-7,"domain_scores_codex":[0.9994174,0.00003965734,0.0002295352,0.00007396633,0.0001353897,0.0001040698],"domain_scores_gemma":[0.9991139,0.00002559533,0.0005283082,0.0001549398,0.0001375431,0.00003976398],"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":[0.00004970383,0.00004849999,0.001313001,0.00001338348,0.00006989482,1.429293e-8,0.0003156283,0.000003874672,0.9954101,0.00009418887,0.002273445,0.0004082517],"study_design_scores_gemma":[0.0001660642,0.00007699591,0.002816889,0.000007312738,0.00005121134,0.000009692985,0.0003297411,0.00005640831,0.9856246,0.0001560611,0.01064831,0.00005669168],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919964,0.0004218526,0.006437371,0.0008446589,0.0002066046,0.00007985243,0.000002662488,0.000002064122,0.000008516898],"genre_scores_gemma":[0.9973441,0.00009570316,0.0013617,0.0004189948,0.0007200725,0.000003512574,0.00001186491,0.000009757233,0.0000342521],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009785495,"threshold_uncertainty_score":0.169534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01300785899032963,"score_gpt":0.2582652666834075,"score_spread":0.2452574076930779,"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."}}