{"id":"W3138028809","doi":"10.3390/ani11030800","title":"Impact of Censored or Penalized Data in the Genetic Evaluation of Two Longevity Indicator Traits Using Random Regression Models in North American Angus Cattle","year":2021,"lang":"en","type":"article","venue":"Animals","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Heritability; Ice calving; Statistics; Random effects model; Longevity; Mathematics; Genetic correlation; Regression; Restricted maximum likelihood; Demography; Biology; Maximum likelihood; Medicine; Genetic variation; Population; Internal medicine; Lactation; Genetics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005720708,0.0001202092,0.0002717713,0.00004803159,0.00002028195,0.000006791311,0.0003304524,0.00004810298,0.00003521982],"category_scores_gemma":[0.0001873096,0.00007954417,0.00006076983,0.0003030357,0.0001110238,0.000005677288,0.0001072232,0.00006956171,2.863713e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001683215,"about_ca_system_score_gemma":0.0004570443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00049445,"about_ca_topic_score_gemma":0.002046927,"domain_scores_codex":[0.9983562,0.0005560154,0.0003424927,0.0003074791,0.000274676,0.0001631214],"domain_scores_gemma":[0.9990522,0.00005229509,0.000229097,0.0005228883,0.0001099297,0.00003354824],"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":[0.002399705,0.0007361058,0.3900366,0.00007746458,0.0001828249,0.000006741152,0.002046874,0.06435519,0.519437,0.00004379116,0.000138327,0.02053945],"study_design_scores_gemma":[0.002700126,0.000262547,0.9833148,0.00002683142,0.00007603735,0.00001332011,0.0001618155,0.00292653,0.01026309,0.0001512866,0.000003751306,0.00009983298],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968773,0.001717965,0.0008523104,0.00001143314,0.00001473887,0.0003286599,0.0001448007,0.000001256486,0.00005155284],"genre_scores_gemma":[0.9909008,0.00007997146,0.008809107,0.00001869983,0.0000356891,0.000009607251,0.0001317194,0.00001076955,0.00000363274],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5932783,"threshold_uncertainty_score":0.3243717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.077538198320126,"score_gpt":0.3788163397281393,"score_spread":0.3012781414080133,"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."}}