{"id":"W4395672315","doi":"10.5376/be.2024.14.0004","title":"Advances in Animal Disease Resistance Research: Discoveries of Genetic Markers for Disease Resistance in Cattle through GWAS","year":2024,"lang":"en","type":"article","venue":"Biological Evidence","topic":"Animal Genetics and Reproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Genome-wide association study; Disease; Biology; Resistance (ecology); Plant disease resistance; Genetics; Computational biology; Medicine; Genotype; Single-nucleotide polymorphism; Pathology; Gene; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005528471,0.0001508959,0.0001745133,0.00005736579,0.00005908269,0.00002989388,0.0002548573,0.00009600784,0.00001034483],"category_scores_gemma":[0.001483975,0.0001159947,0.00009488029,0.0003288738,0.0005418331,0.00002569346,0.0001351275,0.0001219059,0.000002521899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003906309,"about_ca_system_score_gemma":0.0001895228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001271261,"about_ca_topic_score_gemma":0.0002891421,"domain_scores_codex":[0.9981479,0.0001804316,0.0003401137,0.000796787,0.0001903414,0.000344394],"domain_scores_gemma":[0.9992443,0.0001674859,0.00005213382,0.0003469682,0.00009393993,0.00009512531],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.05028795,0.0008234673,0.2861948,0.005381134,0.00005302348,0.0002358472,0.0004990689,0.001146702,0.6172493,0.02336076,0.007968498,0.006799479],"study_design_scores_gemma":[0.0003841327,0.0009793415,0.8068578,0.00200466,0.00001993742,0.000001144204,0.0002258308,0.0001087819,0.009088693,0.0200893,0.1597349,0.0005055353],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7363319,0.2605035,0.0009162917,0.001280679,0.0001291385,0.000535626,0.00008197304,0.00001057364,0.0002102588],"genre_scores_gemma":[0.961337,0.03602327,0.001471281,0.00003283345,0.0001753177,0.0001814169,0.00002458816,0.00001363614,0.0007406371],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6081606,"threshold_uncertainty_score":0.4730127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0890638311240389,"score_gpt":0.3804988795512938,"score_spread":0.2914350484272549,"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."}}