{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006531282,0.0001570114,0.000442049,0.0002763809,0.0001055272,0.000005775421,0.00004952828,0.0001561738,0.00002383349],"category_scores_gemma":[0.00004382973,0.0001081627,0.00003259202,0.0002236756,0.0008887865,0.00007231892,0.00009577688,0.0001720924,0.000001772648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001794327,"about_ca_system_score_gemma":0.00002683843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003761338,"about_ca_topic_score_gemma":0.00002666116,"domain_scores_codex":[0.9985923,0.0005387869,0.0003604845,0.0002392053,0.00002528481,0.0002439878],"domain_scores_gemma":[0.9994307,0.0001996097,0.000195982,0.0001145301,0.00003403405,0.00002519746],"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":[0.04480624,0.00002835911,0.1597845,0.0005284912,0.0001023525,0.00001252168,0.0009212453,1.457881e-7,0.7919884,0.00009185222,0.0004643568,0.001271491],"study_design_scores_gemma":[0.02418556,0.05994816,0.3701112,0.0002346733,0.0001689946,0.0007558368,0.002313696,0.0002542362,0.5328956,0.0001623603,0.008451258,0.0005183481],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994781,0.003653126,0.0002041082,0.0002335235,0.0003115743,0.0006414402,0.0001277323,0.0000200966,0.0000274004],"genre_scores_gemma":[0.9973059,0.002159611,0.0001635119,0.00001657875,0.00001540206,0.00004319787,0.000218948,0.00001315163,0.00006369706],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2590928,"threshold_uncertainty_score":0.4410747,"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."}}