{"id":"W4415979618","doi":"10.1099/mgen.0.001726","title":"Multi-omic characterization of the sow colostrum and milk microbiome and proteome","year":2025,"lang":"en","type":"preprint","venue":"Microbial Genomics","topic":"Animal health and immunology","field":"Veterinary","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Burman University; Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada","keywords":"Colostrum; Proteome; Microbiome; Immune system; Metagenomics; Bacteria; Proteomics; Host (biology); Lactation","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":[0.000293501,0.0004526415,0.0003923992,0.0009013737,0.0002688614,0.0005475009,0.000167927,0.0002671411,0.0005443248],"category_scores_gemma":[0.0002155193,0.0001754626,0.0004287715,0.0006034324,0.0001325734,0.0002645537,0.0003833574,0.0003172595,0.0002681201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001841456,"about_ca_system_score_gemma":0.0003127526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001416962,"about_ca_topic_score_gemma":0.001821278,"domain_scores_codex":[0.9998386,0.00001500479,0.00001050032,0.00005630118,0.00005258051,0.00002702246],"domain_scores_gemma":[0.999877,0.00001946801,0.0000332389,0.00001154828,0.00003478915,0.00002393182],"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":[0.00006130171,0.00001390221,0.00725673,0.00006909672,0.0000341103,0.00005218162,0.00002940722,0.00007163679,0.9889386,0.00001797089,0.00007968738,0.003375472],"study_design_scores_gemma":[0.00001247029,0.0003310733,0.7003221,0.00005650029,0.0002209036,0.0008994855,0.0004035919,0.006967576,0.2839275,0.0002435973,0.006582098,0.00003305557],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.976503,0.002758467,0.009696224,0.0001397637,0.00004352721,0.00005022628,0.009689665,0.0001598775,0.000959195],"genre_scores_gemma":[0.9545738,0.001674801,0.02505871,0.0002861099,0.00003716328,0.00009211229,0.0162182,0.0001049381,0.001954187],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001416962,"threshold_uncertainty_score":0.002817452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03469865363056759,"score_gpt":0.2863275573653978,"score_spread":0.2516289037348302,"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."}}