{"id":"W4388539162","doi":"10.1093/jas/skad281.118","title":"189 Single-Step Gblup Evaluation for Behavioral Traits in Labrador Retrievers Used as Guide Dogs","year":2023,"lang":"en","type":"article","venue":"Journal of Animal Science","topic":"Human-Animal Interaction Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Trait; Checklist; Best linear unbiased prediction; Population; Single-nucleotide polymorphism; SNP; Biology; Statistics; Genetics; Selection (genetic algorithm); Demography; Mathematics; Computer science; Machine learning","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003119735,0.0006575236,0.0006004337,0.000666976,0.0002491669,0.0004721075,0.0007866462,0.000370278,0.001272838],"category_scores_gemma":[0.004149793,0.000206296,0.0005807503,0.000443877,0.0001911604,0.0002034867,0.0004707685,0.0003529687,0.0006453171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002922553,"about_ca_system_score_gemma":0.0003496624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005509293,"about_ca_topic_score_gemma":0.007855517,"domain_scores_codex":[0.9991063,0.00045507,0.00003341611,0.0002314405,0.0001201143,0.00005359501],"domain_scores_gemma":[0.9979517,0.001301529,0.0002221391,0.0001636118,0.0002556544,0.0001054597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002558807,0.0005434129,0.6873149,0.0001352806,0.0008172186,0.0003979459,0.0003324975,0.07967572,0.01895981,0.0002488406,0.00161937,0.2073962],"study_design_scores_gemma":[0.00008148406,0.001288104,0.4193865,0.00002950442,0.0002100901,0.000272901,0.0001816101,0.5701367,0.007170814,0.0002883257,0.0009161465,0.0000378832],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9784172,0.0001231336,0.0200303,0.00003495034,0.000009154473,0.00003133824,0.0005227296,0.000504759,0.0003264847],"genre_scores_gemma":[0.9750225,0.00005106761,0.02216688,0.00003260025,0.000007123853,0.00005625179,0.001833914,0.00007924894,0.000750446],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005509293,"threshold_uncertainty_score":0.01649892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08890105967445056,"score_gpt":0.4382255984591732,"score_spread":0.3493245387847227,"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."}}