{"id":"W4381191076","doi":"10.7554/elife.88898","title":"Development and biophysical characterization of a humanized FSH–blocking monoclonal antibody therapeutic formulated at an ultra-high concentration","year":2023,"lang":"en","type":"article","venue":"eLife","topic":"Protein purification and stability","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Institute of General Medical Sciences; National Institute on Aging; National Institutes of Health; York University","keywords":"Monoclonal antibody; Blocking (statistics); Humanized antibody; Chemistry; Antibody; Cell biology; Biology; Immunology; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001329574,0.00007357641,0.00008663296,0.00001676604,0.0001310789,0.00001025331,0.00005535349,0.00006438982,0.000009454323],"category_scores_gemma":[0.00001535352,0.00006987497,0.00001811838,0.00007974227,0.00003751911,0.000006525455,0.00003332377,0.00002589304,0.000003566287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001091357,"about_ca_system_score_gemma":0.00003965136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002923789,"about_ca_topic_score_gemma":0.00000322911,"domain_scores_codex":[0.9993843,0.00003754327,0.0001775331,0.0001912467,0.0001054791,0.000103876],"domain_scores_gemma":[0.9996811,0.000004291102,0.0000747893,0.0001289804,0.00006994212,0.00004086674],"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":[0.00006577446,0.00004047374,0.00237908,0.00001167755,0.00001761508,2.191964e-7,0.0003176678,0.000001773852,0.9935415,0.0002555809,0.00000103691,0.003367581],"study_design_scores_gemma":[0.0003267999,0.00005055393,0.1266897,0.000004216367,0.00000433999,7.956214e-7,0.0000198579,0.0006264377,0.8707506,0.00001221351,0.001439323,0.00007511699],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987411,0.00003050106,0.0008985497,0.00004497787,0.00003307911,0.0001918245,0.00001400712,0.00002307424,0.0000229143],"genre_scores_gemma":[0.9978399,0.00004738878,0.0001952858,0.00007437215,0.000037713,0.00001469429,0.001737596,0.000007948819,0.00004510765],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1243107,"threshold_uncertainty_score":0.2849419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01994231067010736,"score_gpt":0.2817246602344569,"score_spread":0.2617823495643495,"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."}}