{"id":"W4388662797","doi":"10.1016/j.bios.2023.115793","title":"Development of an impedance-based biosensor for determination of IgG galactosylation levels","year":2023,"lang":"en","type":"article","venue":"Biosensors and Bioelectronics","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Alberta Cancer Foundation; University of Alberta","funders":"Higher Education Discipline Innovation Project; Science and Technology Commission of Shanghai Municipality; Mitacs; Fudan University; Chinese Academy of Meteorological Sciences","keywords":"Biotinylation; Biosensor; Glycan; Chemistry; Lectin; Biochemistry; Glycoprotein; Molecular biology; Biology","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":[0.0008677553,0.0006697869,0.0005913163,0.0004812234,0.0002310989,0.0006082864,0.001516248,0.001490195,0.000755045],"category_scores_gemma":[0.001009532,0.0004423161,0.0004396271,0.0005697743,0.000317484,0.0006572367,0.000573662,0.001325012,0.000726284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005299927,"about_ca_system_score_gemma":0.000475214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000599693,"about_ca_topic_score_gemma":0.0009102014,"domain_scores_codex":[0.9990777,0.0001376503,0.00005660308,0.0001825017,0.0004707389,0.00007494343],"domain_scores_gemma":[0.9995841,0.0001215195,0.00005915384,0.00003814862,0.0001468865,0.00005019],"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":[0.00002061089,0.00002823298,0.0001512289,0.00003088665,0.000006062803,0.00002360835,0.00001820023,0.00005029225,0.9958239,0.0001230926,0.00007230456,0.003651582],"study_design_scores_gemma":[0.00001006217,0.000116282,0.000721276,0.000004353435,0.00001548646,0.0001455085,0.00001529972,0.004652401,0.9925113,0.00008269104,0.001713808,0.00001159301],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3081497,0.001884245,0.6820896,0.001461397,0.0004374758,0.0004030037,0.000784149,0.001947157,0.002843178],"genre_scores_gemma":[0.5721454,0.001968309,0.415126,0.0007308734,0.00009078188,0.0004439044,0.001119626,0.0001077434,0.008267362],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001516248,"threshold_uncertainty_score":0.0045892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03620332654216678,"score_gpt":0.3245507403554923,"score_spread":0.2883474138133255,"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."}}