{"id":"W4415471346","doi":"10.1111/jbg.70021","title":"Estimating the Value of Including Resilience in a Multi‐Trait Selection Index Designed for Australian Merino Sheep","year":2025,"lang":"en","type":"article","venue":"Journal of Animal Breeding and Genetics","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Commonwealth Scientific and Industrial Research Organisation; McMaster University; Australian Wool Innovation","keywords":"Resilience (materials science); Index (typography); Trait; Selection (genetic algorithm); Wool; Psychological resilience; Index selection; Value (mathematics)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0004409698,0.00009925453,0.000155284,0.00007718937,0.0000934061,0.00001957588,0.0001695615,0.00009868234,9.441083e-7],"category_scores_gemma":[0.0001717439,0.00007948813,0.00005899285,0.0001304998,0.00009263382,0.000004412366,0.00005317868,0.0001202366,2.60735e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001142974,"about_ca_system_score_gemma":0.00009552154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000119759,"about_ca_topic_score_gemma":0.00001358194,"domain_scores_codex":[0.999198,0.00003952505,0.0003794014,0.0001329864,0.00009561432,0.0001544691],"domain_scores_gemma":[0.9994947,0.00005394401,0.0002123583,0.00006591366,0.0001361292,0.00003693402],"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":[0.0004871809,0.00006426169,0.05347569,0.0001013128,0.00007031546,3.447148e-7,0.0004190892,0.05945688,0.876279,0.0006244405,0.0002030779,0.008818391],"study_design_scores_gemma":[0.002018861,0.004920956,0.8172947,0.0003139676,0.0001201319,0.00009662904,0.0009356967,0.02904712,0.1425739,0.002032464,0.0004146636,0.0002309145],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8744832,0.0004755551,0.1245972,0.0001697472,0.0001105315,0.0001181924,0.000002731415,0.000001366985,0.00004154006],"genre_scores_gemma":[0.8644274,0.00001973984,0.1353308,0.00003653451,0.000111895,0.00000266661,5.494095e-7,0.000006252407,0.00006415008],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.763819,"threshold_uncertainty_score":0.3241432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03154679829885159,"score_gpt":0.315127640757328,"score_spread":0.2835808424584764,"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."}}