{"id":"W4368377364","doi":"10.3389/fcimb.2023.1165312","title":"Host innate immune responses and microbiome profile of neonatal calves challenged with Cryptosporidium parvum and the effect of bovine colostrum supplementation","year":2023,"lang":"en","type":"article","venue":"Frontiers in Cellular and Infection Microbiology","topic":"Animal health and immunology","field":"Veterinary","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Alberta Bone and Joint Health Institute; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Agriculture Funding Consortium; Government of Alberta; Alberta Agriculture and Forestry","keywords":"Cryptosporidium parvum; Colostrum; Innate immune system; Microbiome; Biology; Immune system; Microbiology; Immunology; Immunity; Antibody; Bioinformatics","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":[0.0002257898,0.0003653312,0.0004542499,0.0003027476,0.0002093828,0.0004369046,0.0001686891,0.0003341617,0.0008696698],"category_scores_gemma":[0.0002577664,0.0001318809,0.000256377,0.0001890513,0.0002638046,0.0002110381,0.0002384362,0.000535756,0.0001152265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000426726,"about_ca_system_score_gemma":0.0003759868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003848925,"about_ca_topic_score_gemma":0.005244251,"domain_scores_codex":[0.9996935,0.00003766718,0.00001895756,0.00007777842,0.00007859144,0.00009361169],"domain_scores_gemma":[0.9998023,0.00002230296,0.0000506362,0.000005978189,0.00004031411,0.00007852372],"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":[0.002307032,0.0002942467,0.01287744,0.0002020121,0.00003430818,0.0001482823,0.0002402641,0.00007622246,0.9801712,0.00002012661,0.00009422689,0.003534626],"study_design_scores_gemma":[0.00008019582,0.01318752,0.6516911,0.0001237762,0.0002982414,0.0006479222,0.001666053,0.001471581,0.3266192,0.00009678547,0.004048309,0.00006931857],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979376,0.001020658,0.0001915989,0.00003796375,0.0000175356,0.00002160007,0.0005176915,0.000007377099,0.0002481024],"genre_scores_gemma":[0.9969597,0.0006466387,0.0004357589,0.0001223017,0.000008305155,0.00004071491,0.0007458949,0.00000412311,0.001036605],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003848925,"threshold_uncertainty_score":0.007652998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009716692136399013,"score_gpt":0.2591650886141588,"score_spread":0.2494483964777598,"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."}}