{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049186,0.00032353,0.0005610776,0.0001634892,0.000687026,0.00001624704,0.0002933376,0.0001953136,0.0001456011],"category_scores_gemma":[0.0001383267,0.0002035865,0.0001106159,0.0001862386,0.001768281,0.0001293003,0.000603376,0.0005527015,0.000006504759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004891333,"about_ca_system_score_gemma":0.000137394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001783787,"about_ca_topic_score_gemma":0.00000150312,"domain_scores_codex":[0.9974494,0.0008807116,0.0007338956,0.0004071045,0.00009329113,0.0004355964],"domain_scores_gemma":[0.998732,0.0004188224,0.0003812594,0.0003215754,0.00008785325,0.00005851639],"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":[0.1832032,0.0002486131,0.01988709,0.0003180036,0.0003995512,0.0002140435,0.008184739,1.196972e-7,0.7854953,0.0003906649,0.000005007627,0.001653626],"study_design_scores_gemma":[0.002525428,0.06918597,0.9143881,0.0002250018,0.00003558075,0.008554808,0.002317788,0.000009065907,0.001830364,0.00002817693,0.0006927436,0.0002070089],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9879786,0.009979576,0.00003339395,0.001307472,0.00008295506,0.0004499632,0.0001169063,0.00002660709,0.00002453443],"genre_scores_gemma":[0.9987915,0.000541274,0.0004149519,0.00007786972,0.00001731852,0.00007191972,0.00002374242,0.00002852013,0.00003289159],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.894501,"threshold_uncertainty_score":0.8302016,"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."}}