{"id":"W4412304904","doi":"","title":"Infant Nutritional Metabolomics: Investigating human milk composition and its potential downstream effects on infant urine metabolites","year":2022,"lang":"en","type":"article","venue":"","topic":"Infant Nutrition and Health","field":"Nursing","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Eesti Teadusagentuur; Fundação de Amparo à Pesquisa do Estado de São Paulo; Natural Sciences and Engineering Research Council of Canada; Fundação de Amparo à Pesquisa do Estado de Goiás; European Commission; Financiadora de Estudos e Projetos; Sihtasutus Archimedes","keywords":"Infant formula; Metabolomics; Urine; Composition (language); Downstream (manufacturing); Infant development; Food science; Chemistry; Biology; Chromatography; Biochemistry; Psychology; Engineering; Developmental psychology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002704931,0.0005090951,0.000313162,0.0004407684,0.000205249,0.0005541885,0.0001635879,0.0004186773,0.001404639],"category_scores_gemma":[0.0006256808,0.0001313858,0.0002686895,0.0004951715,0.0001639555,0.000243591,0.0003958166,0.0003292814,0.0002140532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002819774,"about_ca_system_score_gemma":0.0004057008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002015364,"about_ca_topic_score_gemma":0.003257936,"domain_scores_codex":[0.9998521,0.00004500509,0.000005511203,0.00003750235,0.00003568085,0.00002432155],"domain_scores_gemma":[0.9998813,0.00002625341,0.00003278004,0.000007777459,0.00003186542,0.00002004696],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.004963868,0.0002109115,0.09349272,0.0007457542,0.000379961,0.0007592039,0.0002988223,0.0003465135,0.8076068,0.0006362121,0.001168648,0.08939061],"study_design_scores_gemma":[0.00005150915,0.002055669,0.3916682,0.0001978864,0.0004440174,0.001775106,0.0006693071,0.00293948,0.5901653,0.0008294411,0.009151734,0.00005232204],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9723703,0.0157585,0.005964003,0.0005591107,0.0001415211,0.00006861988,0.00204569,0.000115476,0.002976802],"genre_scores_gemma":[0.9806919,0.007394201,0.007441048,0.000465284,0.00007318681,0.00007034602,0.0009939073,0.00004186519,0.002828221],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002015364,"threshold_uncertainty_score":0.004698992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0139473590495714,"score_gpt":0.2729286701246819,"score_spread":0.2589813110751105,"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."}}