{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008186225,0.0003892538,0.0002251901,0.0003191251,0.0002262949,0.0006677617,0.0002569736,0.0002751516,0.0008313511],"category_scores_gemma":[0.001223634,0.0002302844,0.0001790027,0.0002743628,0.0003459154,0.0004871898,0.0003138806,0.0005984086,0.000317891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003581125,"about_ca_system_score_gemma":0.0003328577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006799113,"about_ca_topic_score_gemma":0.0007592725,"domain_scores_codex":[0.9992355,0.0002157577,0.0000987219,0.0001622098,0.0002146187,0.0000731289],"domain_scores_gemma":[0.9991978,0.0002918284,0.000239597,0.00006089418,0.0001702166,0.00003970026],"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":[0.0001688258,0.00003503646,0.00115517,0.00006941798,0.00001297779,0.00005879663,0.00006266441,0.0001822758,0.9939914,0.0001165941,0.0000350095,0.004111709],"study_design_scores_gemma":[0.000004601201,0.0001180225,0.002442597,0.000009984926,0.0000149635,0.00005018833,0.00002015453,0.0006912924,0.9957489,0.00002373439,0.0008715637,0.000003938307],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9826717,0.003670814,0.01103178,0.000143022,0.00003276545,0.00009150025,0.0001478694,0.0001062118,0.002104337],"genre_scores_gemma":[0.990593,0.0009848507,0.006321911,0.00005895665,0.00000757478,0.00005404993,0.0001182718,0.00005188244,0.001809565],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0008313511,"threshold_uncertainty_score":0.004329383,"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."}}