{"id":"W2159517264","doi":"10.3382/ps.2008-00159","title":"Influence of In-Feed Virginiamycin on the Systemic and Mucosal Antibody Response of Chickens","year":2008,"lang":"en","type":"article","venue":"Poultry Science","topic":"Animal Nutrition and Physiology","field":"Agricultural and Biological Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Agriculture, Food and Rural Affairs; Agriculture and Agri-Food Canada; Nutreco (Canada); University of Guelph","funders":"Luonnontieteiden ja Tekniikan Tutkimuksen Toimikunta; Poultry Industry Council; Agriculture and Agri-Food Canada; Natural Sciences and Engineering Research Council of Canada; Canadian Poultry Research Council","keywords":"Virginiamycin; Immune system; Antibody; Keyhole limpet hemocyanin; Antibiotics; Biology; Antibody response; Immunology; Antigen; Microbiology; Immunity","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":[0.0005502207,0.0000595243,0.0001219788,0.00002342982,0.0001301178,0.000004490348,0.0002714649,0.00003259796,0.00001289793],"category_scores_gemma":[0.0003034253,0.00001959911,0.00002098956,0.000604266,0.0008763607,0.00008356188,0.00004792116,0.0000757469,0.000005508887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000680779,"about_ca_system_score_gemma":0.00002175898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001240093,"about_ca_topic_score_gemma":0.000006747906,"domain_scores_codex":[0.9992207,0.0001200034,0.0001658537,0.0001741573,0.0001773315,0.0001419049],"domain_scores_gemma":[0.9992253,0.0005302753,0.00008459857,0.00005372986,0.00006622511,0.00003987664],"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":[0.0001557705,0.00003103137,0.1601995,0.000003540461,4.23453e-7,0.000001223739,0.0001256824,0.00001384592,0.8385856,0.0008213224,0.000006891359,0.0000551568],"study_design_scores_gemma":[0.0000768459,0.0002951895,0.9882929,0.00004429014,6.245055e-7,0.0000233693,0.0003470235,0.0000312456,0.01069207,0.000119528,0.00003205122,0.00004491251],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989168,0.00004069687,1.323351e-7,0.0007661382,0.00001537013,0.00009529505,0.0000119858,0.000006646631,0.0001469571],"genre_scores_gemma":[0.9997054,0.00006335181,0.000008998401,0.0001929735,0.00001145508,0.000002017126,8.723306e-7,2.291391e-7,0.00001467958],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8280933,"threshold_uncertainty_score":0.3228988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01759136132728877,"score_gpt":0.2441064585280393,"score_spread":0.2265150972007505,"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."}}