{"id":"W1995374080","doi":"10.4161/mabs.25632","title":"Improving biophysical properties of a bispecific antibody scaffold to aid developability","year":2013,"lang":"en","type":"article","venue":"mAbs","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":123,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; Zymeworks (Canada)","funders":"","keywords":"Scaffold; Critical quality attributes; Bispecific antibody; Computer science; Nanotechnology; Biochemical engineering; Computational biology; Process (computing); Quality by Design; Upstream (networking); Structural similarity; Downstream (manufacturing); Monoclonal antibody; Antibody; Materials science; Biology; Artificial intelligence; Engineering; Immunology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006645322,0.0003370998,0.000202862,0.0003575176,0.0001572123,0.0006178442,0.0003504608,0.0003787879,0.001094008],"category_scores_gemma":[0.0007181444,0.0001915063,0.0001592464,0.0002279839,0.0001443865,0.0005031053,0.0003611613,0.0004782428,0.0005869058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000376507,"about_ca_system_score_gemma":0.0001870196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002625092,"about_ca_topic_score_gemma":0.0004222154,"domain_scores_codex":[0.9996792,0.00006423391,0.00004082145,0.00005690049,0.00009753552,0.00006135113],"domain_scores_gemma":[0.9995621,0.00009463237,0.0001099341,0.00006153179,0.0001017061,0.00006997772],"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":[0.00002429739,0.00002485824,0.0001538747,0.00001269763,0.000001824302,0.00002004845,0.0000181582,0.0004404922,0.9973538,0.0002432014,0.0000222555,0.001684629],"study_design_scores_gemma":[0.000005396684,0.0001411631,0.0005465242,0.000002415716,0.00000542491,0.00007896642,0.00001375319,0.002530137,0.9942551,0.00005150542,0.002365936,0.000003504697],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9514443,0.0004338279,0.04492463,0.0001313009,0.00002444182,0.00005921899,0.0001216697,0.0003017559,0.002558916],"genre_scores_gemma":[0.9731564,0.0002765338,0.02402907,0.00008134064,0.000007158983,0.00006671618,0.0002840289,0.0000806015,0.002018145],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001094008,"threshold_uncertainty_score":0.003659844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03348512112501264,"score_gpt":0.2960222153668862,"score_spread":0.2625370942418735,"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."}}