{"id":"W4310573307","doi":"10.1080/19420862.2022.2149057","title":"A glyco-engineering approach for site-specific conjugation to Fab glycans","year":2022,"lang":"en","type":"article","venue":"mAbs","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"National Research Council Canada","keywords":"Chemistry; Glycan; Epitope; Antibody-drug conjugate; Glycosylation; Monoclonal antibody; Linker; Combinatorial chemistry; Antibody; Drug; Glycoprotein; Biochemistry; Pharmacology; Biology; Computer science","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":[0.0001574855,0.0004322508,0.0001680155,0.000178639,0.0001386263,0.0002237948,0.0002159093,0.0003344686,0.0002982389],"category_scores_gemma":[0.0001396714,0.0001722902,0.0002923086,0.0001864637,0.0002103507,0.0002074307,0.0002653277,0.0006814665,0.0001622374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003287773,"about_ca_system_score_gemma":0.000273847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005449181,"about_ca_topic_score_gemma":0.0006134096,"domain_scores_codex":[0.9998553,0.00002415442,0.00001439718,0.0000306156,0.00004941472,0.00002606592],"domain_scores_gemma":[0.9999466,0.000006777513,0.00002316388,0.000008519467,0.000008008491,0.000007036504],"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":[0.00001360903,0.00002690428,0.00007503714,0.00003539585,0.000004941115,0.00005081442,0.00001483779,0.0003653011,0.9957716,0.0006010177,0.00003152859,0.003008936],"study_design_scores_gemma":[0.000007612662,0.0001376412,0.0003462789,0.00000288645,0.000009349591,0.0001865204,0.000004336828,0.001220479,0.9944806,0.00008112936,0.003516621,0.000006472531],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7488388,0.001954894,0.2436477,0.0004070135,0.0001197335,0.0003143655,0.0003070354,0.0002993582,0.004111149],"genre_scores_gemma":[0.9146459,0.001752507,0.08026083,0.0002037627,0.00001738445,0.0001074409,0.000231573,0.00003704645,0.002743644],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0005449181,"threshold_uncertainty_score":0.002385497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03186125103665228,"score_gpt":0.2829580887410076,"score_spread":0.2510968377043553,"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."}}