{"id":"W4225156228","doi":"10.3390/polym14091806","title":"Carbohydrate-Binding Modules of Potential Resources: Occurrence in Nature, Function, and Application in Fiber Recognition and Treatment","year":2022,"lang":"en","type":"review","venue":"Polymers","topic":"Enzyme Production and Characterization","field":"Biochemistry, Genetics and Molecular Biology","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"National Natural Science Foundation of China","keywords":"Carbohydrate-binding module; Function (biology); Domain (mathematical analysis); Substrate (aquarium); Molecular recognition; Biochemical engineering; Fiber; Computer science; Glycoside hydrolase; Materials science; Chemistry; Biochemistry; Biology; Engineering; Mathematics; Enzyme; Cell biology; Organic chemistry; Molecule; Composite material","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00007746989,0.0001311328,0.000233661,0.0001570128,0.00002875479,0.000008429342,0.00003510296,0.000174174,0.0000255792],"category_scores_gemma":[0.00001190615,0.0001275993,0.00003866237,0.0001569713,0.00003308181,0.000004547555,0.00003317939,0.0001035468,8.426153e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002951456,"about_ca_system_score_gemma":0.00002620712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005447588,"about_ca_topic_score_gemma":0.00003163043,"domain_scores_codex":[0.9992343,0.00008283218,0.0002252698,0.0003211352,0.0000545451,0.00008190902],"domain_scores_gemma":[0.999692,0.000006599743,0.0001594487,0.0001109231,0.000009305694,0.00002171634],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002725936,0.00004206575,0.00008366962,0.0004780899,0.00002549361,3.963227e-7,0.00003877343,0.000002274829,0.004637445,0.000001920195,0.000004617638,0.994658],"study_design_scores_gemma":[0.0005942636,0.0002161574,0.0004699383,0.0004824755,0.0002072484,0.00001841489,0.0001227513,0.00001607902,0.002247029,0.00002225346,0.9952403,0.0003630364],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.08803619,0.9113048,0.00001456997,0.00001048448,0.00009762283,0.0003215573,0.000158953,0.000004288616,0.00005153887],"genre_scores_gemma":[0.01574972,0.9807808,0.00001154829,0.000008221597,0.00005859539,0.0001391549,0.00317124,0.00001128918,0.00006946857],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9952357,"threshold_uncertainty_score":0.5203347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02089497249584638,"score_gpt":0.264519010459916,"score_spread":0.2436240379640696,"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."}}