{"id":"W3199723692","doi":"10.3390/genes12091432","title":"Prediction of Genetic Resistance for Scrapie in Ungenotyped Sheep Using a Linear Animal Model","year":2021,"lang":"en","type":"article","venue":"Genes","topic":"Prion Diseases and Protein Misfolding","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Agriculture, Food and Rural Affairs; University of Guelph","funders":"","keywords":"Scrapie; Genotyping; Genotype; Haplotype; Biology; Allele; Selection (genetic algorithm); Veterinary medicine; Genetics; Gene; Medicine; Machine learning; Prion protein","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001325315,0.000503191,0.0006751704,0.0005188301,0.0002004736,0.0005872636,0.0008971227,0.0007926663,0.00166371],"category_scores_gemma":[0.002573787,0.0004009794,0.0006586532,0.0003289974,0.0002848656,0.00033147,0.0003109112,0.0006036932,0.0003203022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006619639,"about_ca_system_score_gemma":0.0004880497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01377216,"about_ca_topic_score_gemma":0.01086635,"domain_scores_codex":[0.9996102,0.0001846639,0.00001777601,0.00009948236,0.00003160724,0.00005634713],"domain_scores_gemma":[0.9981461,0.00138942,0.0001835658,0.00005545725,0.0001667609,0.00005872634],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001367439,0.00007218139,0.01657523,0.00002091395,0.00008796617,0.0000843548,0.00003342751,0.9771836,0.001319451,0.0004011376,0.0001445105,0.00394053],"study_design_scores_gemma":[0.000007108224,0.00005150909,0.002501686,0.000002322568,0.00001883159,0.00001132185,0.00000546411,0.9970085,0.0001201928,0.0002179738,0.00005092905,0.000004146661],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8662652,0.0002019113,0.1313365,0.000231179,0.0000203683,0.00005236744,0.0005308265,0.0002487819,0.001112995],"genre_scores_gemma":[0.9854081,0.00008348179,0.01180465,0.00006408112,0.000007240228,0.00008673334,0.0005612269,0.00001700945,0.001967344],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01377216,"threshold_uncertainty_score":0.02738398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03562536838377351,"score_gpt":0.2754934596185871,"score_spread":0.2398680912348136,"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."}}