{"id":"W3109849117","doi":"10.3389/fimmu.2020.586659","title":"A Bovine Enteric Mycobacterium Infection Model to Analyze Parenteral Vaccine-Induced Mucosal Immunity and Accelerate Vaccine Discovery","year":2020,"lang":"en","type":"article","venue":"Frontiers in Immunology","topic":"Mycobacterium research and diagnosis","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Guelph; Simon Fraser University; University of Saskatchewan","funders":"Simon Fraser University; Killam Trusts; University of Saskatchewan; Genome British Columbia; Ministry of Agriculture - Saskatchewan; Canadian Institutes of Health Research; Genome Canada","keywords":"Immune system; Vaccination; Immunology; Biology; Vaccine efficacy; Paratuberculosis; Microbiology; Immunity; Intestinal mucosa; Pathogen; Mucosal immunity; Mycobacterium; Medicine; Bacteria","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":[0.0004584665,0.0006583636,0.0003917472,0.0005092351,0.000274495,0.0004971803,0.0002801461,0.0006739901,0.001596606],"category_scores_gemma":[0.0002163758,0.0002487618,0.0003040359,0.0002366526,0.0002327949,0.0003050234,0.0003358222,0.001520027,0.0005045704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005107154,"about_ca_system_score_gemma":0.0002976845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001464457,"about_ca_topic_score_gemma":0.002546661,"domain_scores_codex":[0.9995556,0.00007383351,0.00002768871,0.00009926473,0.0001071079,0.0001365076],"domain_scores_gemma":[0.9997973,0.00003610694,0.00005149204,0.00002710885,0.0000289063,0.00005912167],"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":[0.0003252646,0.0002495042,0.0006241383,0.0000643338,0.000006759517,0.0000366735,0.00004490024,0.00008215629,0.9969862,0.00006971776,0.00007384029,0.001436433],"study_design_scores_gemma":[0.0001837071,0.02133869,0.02944103,0.00006455859,0.0001318075,0.0008055419,0.000203317,0.004264475,0.9305246,0.0002663381,0.01274142,0.00003456222],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9758452,0.00434181,0.01284325,0.0002526574,0.0001859929,0.0005214356,0.002333545,0.0002188796,0.003457252],"genre_scores_gemma":[0.9759927,0.001838093,0.01382771,0.0002404671,0.00003284544,0.0005520259,0.00276383,0.00004802732,0.004704256],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001596606,"threshold_uncertainty_score":0.005341172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02440572907481875,"score_gpt":0.283281985013807,"score_spread":0.2588762559389882,"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."}}