{"id":"W2776855447","doi":"10.1016/j.jpba.2017.12.031","title":"Centrifugal ultrafiltration of human serum for improving immunoglobulin A quantification using attenuated total reflectance infrared spectroscopy","year":2017,"lang":"en","type":"article","venue":"Journal of Pharmaceutical and Biomedical Analysis","topic":"Spectroscopy Techniques in Biomedical and Chemical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Prince Edward Island","funders":"Medical Center, University of Rochester; Atlantic Canada Opportunities Agency","keywords":"Chemistry; Ultrafiltration (renal); Chromatography; Partial least squares regression; Attenuated total reflection; Analytical Chemistry (journal); Infrared spectroscopy; Spectroscopy; Turbidimetry","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":[0.001265285,0.0008999685,0.000574258,0.0006915847,0.0004905416,0.0004984352,0.000481064,0.0004836773,0.0008930328],"category_scores_gemma":[0.0007632145,0.0001970305,0.0006304813,0.0004698757,0.0003174216,0.0003037702,0.0002942726,0.0009519474,0.0006728403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004289246,"about_ca_system_score_gemma":0.0007248382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003535579,"about_ca_topic_score_gemma":0.004110843,"domain_scores_codex":[0.9993812,0.0001335932,0.00005996734,0.0001065185,0.0002078305,0.0001109743],"domain_scores_gemma":[0.9996995,0.00006236818,0.00003278361,0.00005190721,0.0001202757,0.00003323202],"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":[0.00008766334,0.00003994557,0.0002751654,0.00003820353,0.00001485743,0.00002592347,0.00002969267,0.00003234589,0.995038,0.00004653093,0.0001580936,0.004213572],"study_design_scores_gemma":[0.00001159628,0.0001267512,0.003291266,0.000008465432,0.00003191888,0.000124195,0.00001376225,0.001066445,0.9936253,0.00004271813,0.001651763,0.000005910675],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7964371,0.008942685,0.1867946,0.0007699613,0.0005886509,0.0003793558,0.001134873,0.001807664,0.003145051],"genre_scores_gemma":[0.8749046,0.003982871,0.1117033,0.0008666569,0.0001341727,0.0001710591,0.002454974,0.0002858073,0.005496614],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003535579,"threshold_uncertainty_score":0.007029951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04225838275179498,"score_gpt":0.4289993899185001,"score_spread":0.3867410071667051,"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."}}