{"id":"W3203253787","doi":"10.1007/s00216-021-03648-2","title":"Monitoring process-related impurities in biologics–host cell protein analysis","year":2021,"lang":"en","type":"article","venue":"Analytical and Bioanalytical Chemistry","topic":"Protein purification and stability","field":"Biochemistry, Genetics and Molecular Biology","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alpha Technologies (Canada)","funders":"","keywords":"Documentation; Chemistry; Biochemical engineering; Process development; Chromatography; Process (computing); Computer science; Nanotechnology; Process engineering; Computational biology; Materials science; Engineering; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004933987,0.00104093,0.000758854,0.002606069,0.000746423,0.001880094,0.0009217779,0.001216479,0.001077636],"category_scores_gemma":[0.005643549,0.0003831257,0.0006773837,0.001691735,0.0009502314,0.001214172,0.001074298,0.001313464,0.001058051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001141554,"about_ca_system_score_gemma":0.001231416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001558883,"about_ca_topic_score_gemma":0.002051149,"domain_scores_codex":[0.9915394,0.001108087,0.0003732698,0.001224083,0.005435283,0.0003197475],"domain_scores_gemma":[0.9955735,0.001065999,0.001228304,0.0003767688,0.001637157,0.0001181346],"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":[0.0005264145,0.00033157,0.02851791,0.001453448,0.000192267,0.0006186545,0.0006745136,0.002434225,0.8423622,0.001630599,0.002115248,0.1191429],"study_design_scores_gemma":[0.000009533934,0.0004243528,0.01079243,0.0001279862,0.0001283331,0.0005803402,0.0002300834,0.007920627,0.9596171,0.0007094099,0.01939939,0.00006045173],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6619117,0.03815037,0.2740402,0.001177371,0.0006202158,0.0009935583,0.002954158,0.004173537,0.0159789],"genre_scores_gemma":[0.8129178,0.01577586,0.1583727,0.001309002,0.0001927314,0.0005139959,0.002560663,0.0005873719,0.007769956],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004933987,"threshold_uncertainty_score":0.02609372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008946213862475934,"score_gpt":0.2574895487463712,"score_spread":0.2485433348838953,"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."}}