{"id":"W2340532378","doi":"10.1139/bcb-2016-0022","title":"Divergent evolution for diverse substrate recognition by family 31 glycoside hydrolases","year":2016,"lang":"en","type":"article","venue":"Biochemistry and Cell Biology","topic":"Enzyme Production and Characterization","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Canadian Institutes of Health Research","keywords":"Glycoside hydrolase; Phylogenetic tree; Carbohydrate; Starch; Biochemistry; Enzyme; Biology; Gene; Glycoside; Substrate (aquarium); Substrate specificity; Chemistry; Food science; Botany; Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.00007450001,0.0001374405,0.0001042523,0.00001475432,0.00009993282,0.000009112097,0.00006864656,0.000223018,0.00002522854],"category_scores_gemma":[0.00003633405,0.0001099147,0.00006847711,0.00002988994,0.0001042476,0.000006143824,0.00004406157,0.00002869271,0.00001049306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001568736,"about_ca_system_score_gemma":0.00003058688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004454015,"about_ca_topic_score_gemma":0.000001066054,"domain_scores_codex":[0.999194,0.00002509877,0.0001477158,0.0004157827,0.00003186483,0.0001854908],"domain_scores_gemma":[0.9996024,0.0000110808,0.00008952908,0.000147314,0.00007657854,0.00007314409],"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":[0.0001572033,0.00004900048,0.000683666,0.00002415455,0.00005263585,2.071355e-7,0.000003272288,1.385544e-7,0.9920533,0.000008457374,0.004933957,0.002034066],"study_design_scores_gemma":[0.0006389527,0.000185633,0.0002071198,0.000004954864,0.00007503068,0.000004955059,0.00003814629,0.000002832974,0.9701882,0.0001256965,0.02834774,0.000180721],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940635,0.001652145,0.002836896,0.0002295577,0.0001726622,0.0001506023,0.0005128369,0.0000199023,0.0003618968],"genre_scores_gemma":[0.9945567,0.001043563,0.0001193736,0.0001576979,0.0002534442,0.00004867829,0.001483708,0.00001014637,0.002326671],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02341378,"threshold_uncertainty_score":0.4482193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01212794153534878,"score_gpt":0.216274610062241,"score_spread":0.2041466685268922,"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."}}