{"id":"W2041463643","doi":"10.1016/s0141-0229(00)00246-5","title":"Affinity electrophoresis for the identification and characterization of soluble sugar binding by carbohydrate-binding modules","year":2000,"lang":"en","type":"article","venue":"Enzyme and Microbial Technology","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":78,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Isothermal titration calorimetry; Affinity electrophoresis; Titration; Chemistry; Biochemistry; Carbohydrate; Chromatography; Binding affinities; Electrophoresis; Binding constant; Gel electrophoresis; Polysaccharide; Binding site; Carbohydrate-binding module; Affinity chromatography; Receptor; Organic chemistry; Enzyme","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":[0.0001411559,0.00007710894,0.00009087475,0.00008065842,0.0001672065,0.00002422354,0.0001003835,0.0001652069,0.0000205406],"category_scores_gemma":[0.0000354092,0.00006598345,0.00002200297,0.0001320615,0.0001287022,0.000005766224,0.00004034775,0.00006467877,0.000002199056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006311333,"about_ca_system_score_gemma":0.00001606337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001990847,"about_ca_topic_score_gemma":0.00002255121,"domain_scores_codex":[0.9994254,0.00001917338,0.0001542398,0.0002035798,0.00003801876,0.0001595796],"domain_scores_gemma":[0.9997129,0.0000101574,0.00006079578,0.0001489633,0.00004843659,0.0000187075],"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":[0.00006086779,0.00001672952,0.0001096004,0.00001317416,0.00001958041,1.017375e-7,0.00001704969,8.992041e-7,0.9891222,0.0001139103,0.0005199915,0.01000593],"study_design_scores_gemma":[0.0002912939,0.0001035108,0.0001830825,0.000004923921,0.00001025448,0.000005118574,0.00002248665,0.00009286943,0.9701903,0.00004234402,0.02898538,0.00006847151],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976194,0.0005098573,0.000853933,0.0005876156,0.00003064883,0.000309361,0.00006064437,0.00001271865,0.00001582209],"genre_scores_gemma":[0.9964244,0.001648692,0.00009292206,0.00001946354,0.00002881841,0.00004094591,0.000228559,0.00001073793,0.00150542],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02846539,"threshold_uncertainty_score":0.2690727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006987490779918388,"score_gpt":0.2309700261753122,"score_spread":0.2239825353953938,"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."}}