{"id":"W2343568188","doi":"10.1038/nbt.3474","title":"Precision and robustness of 2D-NMR for structure assessment of filgrastim biosimilars","year":2016,"lang":"en","type":"letter","venue":"Nature Biotechnology","topic":"Biosimilars and Bioanalytical Methods","field":"Immunology and Microbiology","cited_by":67,"is_retracted":false,"has_abstract":false,"ca_institutions":"Health Canada","funders":"","keywords":"Biosimilar; Robustness (evolution); Medicine; Chemistry; Internal medicine; Biochemistry","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":[0.01021077,0.0005378536,0.0006631662,0.000593921,0.0007522198,0.00216327,0.001501673,0.005930164,0.0009596404],"category_scores_gemma":[0.03175559,0.000364441,0.0004131113,0.0004199847,0.002365846,0.001346999,0.001022385,0.004139065,0.0008506171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001528211,"about_ca_system_score_gemma":0.0007333583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00137495,"about_ca_topic_score_gemma":0.001666677,"domain_scores_codex":[0.9945674,0.002144674,0.0003137663,0.000950621,0.001695777,0.0003277654],"domain_scores_gemma":[0.980717,0.01318146,0.0007422191,0.002389703,0.002691121,0.0002783892],"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":[0.005633012,0.000429512,0.011015,0.0007417962,0.0003546847,0.004846379,0.001765588,0.007659111,0.637226,0.009535527,0.04523633,0.2755571],"study_design_scores_gemma":[0.0007066894,0.002656474,0.01588823,0.0004426309,0.0004415504,0.01108242,0.0006835462,0.0631743,0.7339224,0.03691301,0.1336295,0.0004592829],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5309892,0.02681332,0.1556366,0.242296,0.01495533,0.0002981556,0.001701708,0.001534964,0.0257748],"genre_scores_gemma":[0.9377958,0.002801716,0.0282394,0.02351469,0.004189996,0.0001497573,0.0003485377,0.000197997,0.002761977],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01021077,"threshold_uncertainty_score":0.05400032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01104029362711373,"score_gpt":0.3051033070369849,"score_spread":0.2940630134098712,"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."}}