{"id":"W2031687582","doi":"10.4161/mabs.28786","title":"Insights into HER2 signaling from step-by-step optimization of anti-HER2 antibodies","year":2014,"lang":"en","type":"article","venue":"mAbs","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research","funders":"","keywords":"Pertuzumab; Trastuzumab; Antibody; Monoclonal antibody; Epitope; Phage display; Signal transduction; Cetuximab; Blocking antibody; Cancer research; Receptor tyrosine kinase; Paratope; Computational biology; Chemistry; Cancer; Breast cancer; Biology; Biochemistry; Immunology; Genetics","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":[0.0001399942,0.0001779044,0.0004312232,0.0001180171,0.0001132559,0.00002384817,0.0001466663,0.0001161775,0.0004792058],"category_scores_gemma":[0.0001063639,0.0001376729,0.0001064373,0.0001811329,0.0001450808,0.00009235498,0.00009686896,0.0001869718,0.00007640653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002693838,"about_ca_system_score_gemma":0.0000420737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002255934,"about_ca_topic_score_gemma":0.00003911965,"domain_scores_codex":[0.998529,0.00009953036,0.0003588516,0.0002930586,0.0004838319,0.0002356929],"domain_scores_gemma":[0.9990836,0.0001887389,0.0001089958,0.0002638477,0.0002112486,0.0001435947],"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":[0.001213502,0.0008933247,0.1066777,0.001242437,0.0006646095,0.00007458613,0.001509792,0.003961779,0.8178875,0.003622074,0.04356112,0.01869159],"study_design_scores_gemma":[0.005518112,0.001790937,0.07871369,0.001538995,0.0003146288,0.00001999422,0.0008305624,0.221255,0.364999,0.001164638,0.3227647,0.001089796],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9588683,0.001681029,0.03206631,0.000895837,0.0001643147,0.000241688,0.00002222441,0.00005444319,0.006005906],"genre_scores_gemma":[0.98102,0.0003361625,0.01614439,0.0003220865,0.0002434771,0.000005857923,0.0002615936,0.00002787922,0.001638594],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4528885,"threshold_uncertainty_score":0.5614137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01658047661319813,"score_gpt":0.2834084194072785,"score_spread":0.2668279427940803,"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."}}