{"id":"W3014158738","doi":"10.1021/acs.analchem.9b05385","title":"Comparative Analysis of One-Dimensional Protein Fingerprint by Line Shape Enhancement and Two-Dimensional <sup>1</sup>H,<sup>13</sup>C Methyl NMR Methods for Characterization of the Higher Order Structure of IgG1 Monoclonal Antibodies","year":2020,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Protein purification and stability","field":"Biochemistry, Genetics and Molecular Biology","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada","funders":"National Institute of Standards and Technology; Amgen","keywords":"Chemistry; Fingerprint (computing); Characterization (materials science); Resolution (logic); Nuclear magnetic resonance spectroscopy; Biopharmaceutical; Two-dimensional nuclear magnetic resonance spectroscopy; Line (geometry); Biological system; Proton NMR; Order (exchange); Analytical Chemistry (journal); Chromatography; Artificial intelligence; Stereochemistry; Computer science; Mathematics; Optics; Physics; Geometry","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":[0.002742594,0.0004656332,0.0003906674,0.001390199,0.0003350801,0.0006042433,0.0005010921,0.0007596966,0.0005489934],"category_scores_gemma":[0.004276399,0.0002501004,0.000481739,0.0008450203,0.0006925314,0.0006721636,0.0005683689,0.0006203762,0.0002758706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002559283,"about_ca_system_score_gemma":0.0003726313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007897422,"about_ca_topic_score_gemma":0.001238808,"domain_scores_codex":[0.9990265,0.0002628301,0.00004644349,0.0001660129,0.0004145009,0.00008377865],"domain_scores_gemma":[0.9958559,0.001919848,0.0007332451,0.0004196509,0.0008639731,0.0002073021],"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":[0.0004217556,0.0000914476,0.004456537,0.0001279541,0.00005367285,0.0001150582,0.0002025505,0.00087743,0.9830322,0.0001925107,0.00004952385,0.01037937],"study_design_scores_gemma":[0.00003032905,0.001147376,0.07429971,0.00002010787,0.0001693618,0.0008574926,0.0003092263,0.02120872,0.9003332,0.0002575664,0.001263473,0.0001034373],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9564192,0.001542397,0.04030977,0.0001016685,0.00002688493,0.00006119628,0.0003085239,0.0001492065,0.00108121],"genre_scores_gemma":[0.9171355,0.00179124,0.07872882,0.0001753467,0.00004144637,0.0001390276,0.0007369277,0.00006931509,0.001182443],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002742594,"threshold_uncertainty_score":0.01450437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02505718197098887,"score_gpt":0.3214620391120678,"score_spread":0.2964048571410789,"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."}}