{"id":"W2583455613","doi":"10.1371/journal.pone.0171606","title":"Diverse modes of galacto-specific carbohydrate recognition by a family 31 glycoside hydrolase from Clostridium perfringens","year":2017,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Carbohydrate Chemistry and Synthesis","field":"Chemistry","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University of Victoria; Queen's University; Agriculture and Agri-Food Canada","funders":"Canadian Institutes of Health Research; National Institute of General Medical Sciences; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Glycoside hydrolase; Clostridium perfringens; Ligand (biochemistry); Biochemistry; Mucin; Biology; Hydrolase; Enzyme; Computational biology; Genetics; Bacteria","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":[0.0001062399,0.0002506017,0.0001363628,0.0001043772,0.00009817904,0.0001869531,0.0001923707,0.0001431119,0.0004663959],"category_scores_gemma":[0.0001458605,0.00007668856,0.0001504552,0.0001185309,0.0001225218,0.0001039381,0.0002016834,0.000209069,0.0001090486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002026665,"about_ca_system_score_gemma":0.0001471462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001195429,"about_ca_topic_score_gemma":0.0007968241,"domain_scores_codex":[0.9999369,0.000009458181,0.000003537825,0.000009704163,0.00001826506,0.00002210097],"domain_scores_gemma":[0.9999592,0.000007019951,0.000007892313,0.00000337604,0.000005503789,0.00001701026],"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":[0.0002236933,0.00003556697,0.001906872,0.00004982663,0.000009528535,0.0001678493,0.00005884264,0.0003504602,0.9925442,0.0002047536,0.00007853421,0.004369816],"study_design_scores_gemma":[0.00006843264,0.0009483981,0.03708859,0.0000171205,0.0000240787,0.001353902,0.000228923,0.008391479,0.9478552,0.0002685729,0.003714564,0.00004069037],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986258,0.0003065678,0.0005463296,0.00003159141,0.000003259362,0.000005294167,0.00004633414,0.0000137477,0.0004211511],"genre_scores_gemma":[0.9984981,0.0001259614,0.0007195632,0.00002174362,0.000001373589,0.000004197283,0.0001426433,0.000003284703,0.0004829652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001195429,"threshold_uncertainty_score":0.002376974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07219884950522719,"score_gpt":0.2177805960933967,"score_spread":0.1455817465881695,"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."}}