{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001379541,0.0001286293,0.0002945864,0.0001057898,0.00006176675,0.00002268953,0.0001307219,0.00004945214,0.0004543083],"category_scores_gemma":[0.0001271918,0.0000846312,0.00009220522,0.0002728593,0.0001478764,0.00007636638,0.0001620829,0.0001259582,0.0006950777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003751715,"about_ca_system_score_gemma":0.0001081812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001423158,"about_ca_topic_score_gemma":0.00001054713,"domain_scores_codex":[0.9987533,0.00003038413,0.000265639,0.000260074,0.0003771384,0.0003134544],"domain_scores_gemma":[0.9991708,0.00003040546,0.00003584442,0.0002696966,0.0002856719,0.0002076081],"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":[0.0002249271,0.0001775576,0.02151978,0.0003807925,0.00002334781,0.000006562173,0.0001676183,4.376882e-7,0.9633932,0.0002767205,0.0007338722,0.01309522],"study_design_scores_gemma":[0.0006534458,0.0006708112,0.3696753,0.0002798548,0.00002039122,0.00002820074,0.0002277819,0.0007006774,0.6175506,0.0001286877,0.009817141,0.0002470707],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942752,0.0001367471,0.00006040165,0.003512227,0.00006409946,0.0005768609,0.000006177529,0.00003377198,0.001334555],"genre_scores_gemma":[0.9947726,0.00001215682,0.001568977,0.0002188852,0.0001498543,0.00003971842,0.000008244918,0.00001459599,0.003214932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3481556,"threshold_uncertainty_score":0.893405,"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."}}