{"id":"W2800886550","doi":"10.1021/acs.jafc.8b01042","title":"Quantitation of Sialic Acids in Infant Formulas by Liquid Chromatography–Mass Spectrometry: An Assessment of Different Protein Sources and Discovery of New Analogues","year":2018,"lang":"en","type":"article","venue":"Journal of Agricultural and Food Chemistry","topic":"Infant Nutrition and Health","field":"Nursing","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"British Columbia Knowledge Development Fund; Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Sialic acid; Infant formula; Chemistry; Chromatography; Mass spectrometry; Glycoconjugate; Hydrolysis; Hydrolysate; Biochemistry; Casein; Hydrolyzed protein; Acid hydrolysis; Amino acid","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":[0.0005860483,0.0007644603,0.0003697553,0.001025903,0.0002521136,0.0005401261,0.0002983496,0.0005688895,0.0004557829],"category_scores_gemma":[0.001038434,0.0002649199,0.0002930081,0.0005055804,0.0002768227,0.0003335095,0.0004213367,0.0004389127,0.0002448416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002449651,"about_ca_system_score_gemma":0.0003368818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009731427,"about_ca_topic_score_gemma":0.001545347,"domain_scores_codex":[0.9993267,0.0001735505,0.0000445489,0.0001043182,0.0002908166,0.00006011908],"domain_scores_gemma":[0.9996195,0.0001063126,0.00007682495,0.00002908298,0.0001279617,0.00004025015],"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":[0.000175416,0.00001824391,0.001872773,0.00005835943,0.00002551872,0.00004499606,0.00002881409,0.00004321855,0.9902256,0.00003119254,0.00001785627,0.007458059],"study_design_scores_gemma":[0.000009016588,0.0002951055,0.007948182,0.00002197255,0.00005400437,0.0003468515,0.00006846998,0.001406847,0.9885571,0.00004546891,0.001235886,0.000011048],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.959469,0.01166445,0.02658997,0.0001220727,0.00005601877,0.00007073586,0.0004803453,0.00014706,0.001400296],"genre_scores_gemma":[0.9354064,0.007425936,0.05425252,0.0001592508,0.00002664522,0.0001141499,0.0007214035,0.00007014533,0.001823536],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001025903,"threshold_uncertainty_score":0.003099382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01217392120414578,"score_gpt":0.2806349467258542,"score_spread":0.2684610255217084,"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."}}