{"id":"W4414027210","doi":"10.3389/fnut.2025.1618784","title":"Day/night fluctuations of breast milk bioactive factors and microbiome","year":2025,"lang":"en","type":"article","venue":"Frontiers in Nutrition","topic":"Infant Nutrition and Health","field":"Nursing","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Advanced Research","funders":"","keywords":"Microbiome; Breast milk; Medicine; Biology; Food science; Bioinformatics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001290193,0.0001152008,0.0002453256,0.0007378334,0.0001149475,0.00001798577,0.00006783388,0.0001326428,0.00001716799],"category_scores_gemma":[0.00002530458,0.0001201641,0.00005058475,0.0005121446,0.0001316499,0.0001662628,0.0000149238,0.0001401326,0.000001213558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000176601,"about_ca_system_score_gemma":0.00002380378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001112408,"about_ca_topic_score_gemma":0.00003314543,"domain_scores_codex":[0.9991352,0.00009679671,0.0002919123,0.0002053581,0.0000838166,0.0001869133],"domain_scores_gemma":[0.9996132,0.00005206232,0.00008238726,0.0001256821,0.00008502253,0.00004162092],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002589456,0.004083089,0.3704136,0.007786551,0.0002204561,0.000008256666,0.01228443,0.000005261591,0.2052851,0.006410999,0.3653344,0.02557839],"study_design_scores_gemma":[0.01451555,0.0004317001,0.6711141,0.005223727,0.0002015244,0.0000307656,0.01168964,0.001317738,0.1761602,0.03574305,0.08265197,0.000920027],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9780191,0.004439099,0.005917058,0.005096521,0.003110746,0.001055885,0.0006963153,0.0000824341,0.001582836],"genre_scores_gemma":[0.9922575,0.0007517246,0.006313515,0.0002852776,0.00005302571,0.0000266537,0.0002316071,0.00001108927,0.00006956967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3007004,"threshold_uncertainty_score":0.4900151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006237378004746784,"score_gpt":0.2535906714955483,"score_spread":0.2473532934908015,"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."}}