{"id":"W4415015675","doi":"10.3168/jds.2025-27026","title":"Genetic insights into bovine spastic syndrome (Crampy) in Holstein dairy cattle","year":2025,"lang":"en","type":"article","venue":"Journal of Dairy Science","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Agriculture and Agri-Food Canada; Natural Sciences and Engineering Research Council of Canada; Canadian Dairy Commission; Dairy Farmers of Canada","keywords":"Dairy cattle; Culling; Best linear unbiased prediction; Genomic selection; Selection (genetic algorithm); Holstein Cattle; Spastic; Genetic gain; Welfare","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":[0.0009489391,0.0004366378,0.000319997,0.002657955,0.0003815173,0.0005490939,0.0003003012,0.0003500798,0.002523937],"category_scores_gemma":[0.001538663,0.0001741201,0.0004421236,0.001955558,0.0003411727,0.0001431177,0.0004010488,0.00035273,0.0001351444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005032041,"about_ca_system_score_gemma":0.0003873258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02233386,"about_ca_topic_score_gemma":0.03222736,"domain_scores_codex":[0.9993132,0.0001775185,0.00004942016,0.0002073395,0.0001732172,0.00007926385],"domain_scores_gemma":[0.9992705,0.0003500512,0.0001996661,0.00003318002,0.00005579159,0.00009086805],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008786045,0.000101226,0.8911126,0.0001222207,0.0009820652,0.00139465,0.0007351075,0.002264126,0.06865836,0.0005628595,0.0003268793,0.03286139],"study_design_scores_gemma":[0.00001225273,0.00005095058,0.9965743,0.00001787829,0.0001277842,0.000481912,0.0001077681,0.001600372,0.0004985428,0.0001472774,0.0003751417,0.000005836081],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973672,0.0004380947,0.001132038,0.00004540614,0.000003390848,0.000004465283,0.0006102576,0.00002328338,0.0003758573],"genre_scores_gemma":[0.9970775,0.0002581535,0.001515756,0.00003137389,0.000006482294,0.000006642843,0.0007182637,0.000009275935,0.0003765986],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02233386,"threshold_uncertainty_score":0.04440773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007909991975081236,"score_gpt":0.2477170096587688,"score_spread":0.2398070176836875,"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."}}