{"id":"W3035282487","doi":"10.1016/j.vetimm.2020.110072","title":"Impact of birth weight and neonatal nutritional interventions with micronutrients and bovine colostrum on the development of piglet immune response during the peri-weaning period","year":2020,"lang":"en","type":"article","venue":"Veterinary Immunology and Immunopathology","topic":"Animal health and immunology","field":"Veterinary","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Agriculture and Agri-Food Canada; Université Laval","funders":"Agriculture and Agri-Food Canada; Swine Innovation Porc","keywords":"Colostrum; Weaning; Immune system; Litter; Lactation; Biology; Enteral administration; Animal science; Micronutrient; Birth weight; Physiology; Offspring; Andrology; Immunology; Internal medicine; Pregnancy; Medicine; Parenteral nutrition; Antibody","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":[0.000293756,0.0003058366,0.0003838933,0.0001706061,0.0001402615,0.0002508398,0.0002806021,0.0003216882,0.0008009712],"category_scores_gemma":[0.0003237255,0.0001405964,0.0001690614,0.00007581643,0.0004298896,0.0001849164,0.0002330803,0.0005628435,0.0001174596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002960381,"about_ca_system_score_gemma":0.0004606107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00100311,"about_ca_topic_score_gemma":0.002346033,"domain_scores_codex":[0.9997575,0.00006669213,0.00002166738,0.00006977594,0.00003483705,0.0000495301],"domain_scores_gemma":[0.9996722,0.00006012541,0.00009182109,0.00002994749,0.00002441994,0.0001213993],"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":[0.0293393,0.00216092,0.005871569,0.0002660228,0.00005252602,0.000276702,0.000154473,0.0001450484,0.9417852,0.00008173371,0.0001045476,0.01976198],"study_design_scores_gemma":[0.001390088,0.1154311,0.1810593,0.0001631933,0.0004329411,0.0005812915,0.0006659575,0.0009606836,0.6940082,0.0001907721,0.005071365,0.00004503949],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987317,0.0007200511,0.0001154358,0.00003879524,0.00002742855,0.0000156112,0.00004728493,0.000006851914,0.0002968777],"genre_scores_gemma":[0.9961676,0.0009294786,0.0005966229,0.0001070783,0.00002060086,0.00006485784,0.0001330321,0.000006287253,0.001974457],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00100311,"threshold_uncertainty_score":0.002679527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03780524270896002,"score_gpt":0.2999893196777732,"score_spread":0.2621840769688132,"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."}}