{"id":"W4289653714","doi":"10.1101/2022.08.01.502380","title":"Formulation excipients and their role in insulin stability and association state in formulation","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Protein purification and stability","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Stanford Maternal and Child Health Research Institute; Natural Sciences and Engineering Research Council of Canada; National Institute of Diabetes and Digestive and Kidney Diseases; U.S. Department of Defense; National Defense Science and Engineering Graduate; Stanford Diabetes Research Center; National Institutes of Health; American Diabetes Association","keywords":"Excipient; Insulin; Chemistry; Monomer; Zinc; Chromatography; Insulin lispro; Chemical engineering; Organic chemistry; Polymer; Human insulin; Internal medicine; Medicine; Engineering","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00144078,0.0002459349,0.0002591662,0.0001451149,0.00007836952,0.00006623618,0.0001352467,0.0003348788,0.00001345994],"category_scores_gemma":[0.0003852406,0.0002741486,0.00004070006,0.0002042482,0.00002497285,0.00002363935,0.0003848103,0.0003789232,6.395299e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000376899,"about_ca_system_score_gemma":0.0001796974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001424449,"about_ca_topic_score_gemma":0.0001183899,"domain_scores_codex":[0.9981176,0.0002636799,0.0004642976,0.0007202195,0.0001708221,0.0002633981],"domain_scores_gemma":[0.9989278,0.0000321414,0.0003095976,0.0005059193,0.0001439547,0.00008054121],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009617815,0.0001332165,0.5665108,0.0001087398,0.00001936482,5.468555e-7,0.00008833452,0.00008918028,0.4328352,0.00007193566,0.000001741094,0.00004476399],"study_design_scores_gemma":[0.0006680466,0.00004488208,0.8913091,0.00002395827,0.000005357292,3.119553e-9,0.0000129831,0.001615773,0.1050205,0.00007537287,0.0009499218,0.0002740545],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967099,0.001549864,0.0004180208,0.00007525336,0.0001097463,0.0008964537,0.0002079896,0.00002622688,0.000006579442],"genre_scores_gemma":[0.9988898,0.0004542997,0.0002950726,0.00004303123,0.00003470042,0.0002452198,0.000007973083,0.00002774887,0.000002142519],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3278147,"threshold_uncertainty_score":0.9999711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01023130080206858,"score_gpt":0.21784632991144,"score_spread":0.2076150291093715,"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."}}