{"id":"W2892029779","doi":"10.1186/s12864-018-5062-6","title":"A genome-wide association study for natural antibodies measured in blood of Canadian Holstein cows","year":2018,"lang":"en","type":"article","venue":"BMC Genomics","topic":"Animal health and immunology","field":"Veterinary","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Wageningen University and Research; Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Candidate gene; Genome-wide association study; Genetics; Single-nucleotide polymorphism; Keyhole limpet hemocyanin; Antibody; Genetic variation; Population; Genetic association; Gene; Quantitative trait locus; Immunology; Genotype","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0007526409,0.0004093412,0.0004094751,0.001121774,0.0017655,0.0008169261,0.0007821759,0.0005700578,0.001925755],"category_scores_gemma":[0.00116272,0.0002139728,0.0006568243,0.002673939,0.0005612858,0.0001539903,0.0003540055,0.0006503899,0.0001012144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003396144,"about_ca_system_score_gemma":0.003547549,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7307618,"about_ca_topic_score_gemma":0.7878302,"domain_scores_codex":[0.9992236,0.00007209852,0.00003505444,0.0003143742,0.0001878661,0.0001670035],"domain_scores_gemma":[0.9991378,0.0001896525,0.000185895,0.00006937092,0.0002042634,0.00021304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000366981,0.00002988486,0.9914944,0.00003207389,0.0004035363,0.0002778806,0.0003010014,0.00007569567,0.003031306,0.00009401218,0.0004785289,0.003414494],"study_design_scores_gemma":[0.000006694148,0.00001792609,0.9993073,0.000005189384,0.00009198079,0.00005843795,0.00008965294,0.00009946756,0.00004880621,0.00001137894,0.0002602048,0.000002910978],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973571,0.0005341023,0.000170783,0.0001172015,0.00001071584,0.000009254022,0.001187906,0.000008375403,0.0006045792],"genre_scores_gemma":[0.9980441,0.0001920567,0.000390371,0.00005202061,0.000006191947,0.00000798003,0.0008098104,0.000005159395,0.0004922402],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2692382,"threshold_uncertainty_score":0.5416476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07228981354307217,"score_gpt":0.3136062916961109,"score_spread":0.2413164781530387,"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."}}