{"id":"W2993442462","doi":"10.4155/bio-2019-0260","title":"2019 White Paper on Recent Issues in Bioanalysis: Chromatographic Assays (Part 1 – Innovation in Small Molecules and Oligonucleotides & Mass Spectrometric Method Development Strategies for Large Molecule Bioanalysis)","year":2019,"lang":"en","type":"article","venue":"Bioanalysis","topic":"Biosimilars and Bioanalytical Methods","field":"Immunology and Microbiology","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Caprion (Canada)","funders":"Angelini Pharma; U.S. Food and Drug Administration; Bristol-Myers Squibb; Ministry of Health, Labour and Welfare; Agence Nationale de Sécurité du Médicament et des Produits de Santé; Biogen; GlaxoSmithKline; Health Canada; AstraZeneca","keywords":"Bioanalysis; Oligonucleotide; Small molecule; Chemistry; Chromatography; Biochemical engineering; Nanotechnology; Materials science; Biochemistry; DNA; Engineering","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":[0.007656112,0.001308823,0.0009571348,0.001776155,0.002217083,0.007050086,0.002713695,0.01538116,0.03117094],"category_scores_gemma":[0.009045377,0.0009050468,0.0009578528,0.00135048,0.00267334,0.003944826,0.001702849,0.009452844,0.03027142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003311059,"about_ca_system_score_gemma":0.00569961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002298834,"about_ca_topic_score_gemma":0.007703115,"domain_scores_codex":[0.9945773,0.0004922873,0.0004025591,0.0006268533,0.003467916,0.0004330728],"domain_scores_gemma":[0.9850825,0.00338531,0.001702827,0.0004988083,0.00637437,0.002956155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008188505,0.00004970641,0.00008264567,0.0001942217,0.000008126274,0.0001611738,0.00001818467,0.0000336782,0.00153646,0.002420961,0.9592106,0.03620223],"study_design_scores_gemma":[0.00001120429,0.00004378532,0.0002601971,0.00009249175,0.000006208758,0.0001279836,0.00001729509,0.00006794854,0.001725015,0.001168058,0.9964701,0.000009747219],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"methods","genre_scores_codex":[0.0009418606,0.04654743,0.003966521,0.2492168,0.6223277,0.000243335,0.0008289642,0.0003924374,0.07553498],"genre_scores_gemma":[0.006415016,0.03255557,0.005019698,0.1541519,0.334531,0.0001662063,0.00108792,0.0004309132,0.4656416],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.03117094,"threshold_uncertainty_score":0.1042772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02512474401158009,"score_gpt":0.298806687511765,"score_spread":0.2736819435001849,"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."}}