{"id":"W2021434176","doi":"10.1017/s1751731111002059","title":"Genetic parameters for producer-recorded health data in Canadian Holstein cattle","year":2011,"lang":"en","type":"article","venue":"animal","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; University of Guelph","funders":"","keywords":"Sire; Metritis; Breed; Herd; Veterinary medicine; Mastitis; Trait; Dairy cattle; Lameness; Biology; Animal science; Medicine; Statistics; Ice calving; Mathematics; Lactation; Pregnancy; Genetics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001823311,0.0001123941,0.0001158185,0.000041967,0.00005280982,0.000008662182,0.0003896505,0.00007919734,0.00002342535],"category_scores_gemma":[0.0000684505,0.0001168805,0.00002590386,0.00005349508,0.00004741517,0.000002798031,0.00007120975,0.00005481557,0.00001066181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002147358,"about_ca_system_score_gemma":0.0005915248,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1002083,"about_ca_topic_score_gemma":0.3348493,"domain_scores_codex":[0.998876,0.00003545932,0.0001810079,0.0004360454,0.00004753049,0.0004239484],"domain_scores_gemma":[0.9991465,0.000006844833,0.00004562088,0.000589334,0.00002373678,0.0001879616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002154776,0.001247437,0.6618367,0.000522359,0.000432607,0.00001241177,0.006881433,0.0003448268,0.04091943,0.008872698,0.1124036,0.1643717],"study_design_scores_gemma":[0.0005586044,0.001468975,0.9658734,0.00001083439,0.00001066658,0.000009996909,0.0001228987,0.00003864101,0.004200543,0.0005068791,0.02694355,0.0002549831],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967245,0.0007175825,0.0006656892,0.0002606687,0.0001646363,0.000464175,0.0001716344,0.000005850917,0.0008252002],"genre_scores_gemma":[0.925826,0.00001567953,0.07315173,0.0004467271,0.0001111172,0.00003723403,0.0002016535,0.00001990341,0.0001899644],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3040367,"threshold_uncertainty_score":0.9057835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06330118088619234,"score_gpt":0.2853011953914042,"score_spread":0.2220000145052119,"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."}}