{"id":"W2004185819","doi":"10.1002/pmic.201300341","title":"Top‐down mass spectrometry and hydrogen/deuterium exchange for comprehensive structural characterization of interferons: Implications for biosimilars","year":2014,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Genome British Columbia; Genome Canada","keywords":"Biosimilar; Hydrogen–deuterium exchange; Chemistry; Mass spectrometry; Fragmentation (computing); Deuterium; Peptide; Computational biology; Protein structure; Protein sequencing; Chromatography; Peptide sequence; Biochemistry; Computer science; Biology; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0009941283,0.0005003285,0.0003756606,0.0003610505,0.0002307062,0.0005371624,0.0004098897,0.0004811298,0.0008072404],"category_scores_gemma":[0.0007575921,0.0002487112,0.0003054281,0.0002972534,0.0005493878,0.0006861365,0.0004827756,0.001250361,0.0002189943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003352335,"about_ca_system_score_gemma":0.0003661895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004915742,"about_ca_topic_score_gemma":0.0009090976,"domain_scores_codex":[0.9996892,0.00007561666,0.0000206606,0.00005595332,0.0001251572,0.00003351356],"domain_scores_gemma":[0.9996653,0.0001270479,0.00005909047,0.00005784884,0.00005760369,0.00003317563],"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":[0.00008467764,0.00001779112,0.0004569184,0.00004349683,0.00001001094,0.00003554404,0.0000214832,0.0001770704,0.9923092,0.0002748327,0.0000576528,0.006511161],"study_design_scores_gemma":[0.000007938372,0.00009115265,0.002135258,0.000006554328,0.00002048525,0.0002609818,0.00002399491,0.002496608,0.9932213,0.0003266513,0.001398378,0.00001070283],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8176019,0.009958932,0.1670913,0.001231854,0.0001352222,0.0001627595,0.0005235694,0.0003623295,0.002932185],"genre_scores_gemma":[0.7978667,0.007336261,0.1903141,0.0006457012,0.00006470885,0.00007791789,0.000665106,0.0001090857,0.002920355],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009941283,"threshold_uncertainty_score":0.005257547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02111639598704617,"score_gpt":0.2762884649351808,"score_spread":0.2551720689481346,"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."}}