{"id":"W2740923025","doi":"10.1016/j.tvjl.2017.07.006","title":"Genetic correlations of hip dysplasia scores for Golden retrievers and Labrador retrievers in France, Sweden and the UK","year":2017,"lang":"en","type":"article","venue":"The Veterinary Journal","topic":"Veterinary Orthopedics and Neurology","field":"Veterinary","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Erasmus+; Kennel Club Charitable Trust; Svenska Kennelklubben","keywords":"Heritability; Selection (genetic algorithm); Genetic correlation; Demography; Geography; Veterinary medicine; Biology; Medicine; Genetic variation; Evolutionary biology; Population","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009364148,0.0001979114,0.0003494134,0.0001157545,0.000813702,0.0001416785,0.0005626002,0.0001170299,0.00005217618],"category_scores_gemma":[0.0002959716,0.0001241179,0.0001012329,0.00008526063,0.0009932279,0.0002054884,0.0003334954,0.0004756568,0.000003244277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001553372,"about_ca_system_score_gemma":0.00004546774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009547112,"about_ca_topic_score_gemma":0.00001131517,"domain_scores_codex":[0.9985442,0.000263091,0.0004528556,0.0002436113,0.0001856414,0.0003106667],"domain_scores_gemma":[0.9982542,0.0005846858,0.0004763874,0.0005295271,0.00006289119,0.00009227705],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.07227646,0.0003687666,0.7872474,0.0005729855,0.0009641739,0.006776417,0.01557744,0.0001719704,0.06087921,0.003944915,0.006191361,0.04502895],"study_design_scores_gemma":[0.006178488,0.005531883,0.9601538,0.000108966,0.00009938923,0.01819244,0.0002387228,0.001563862,0.00002163203,0.00253531,0.005149574,0.0002259812],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951437,0.001011215,0.0001114965,0.002329897,0.0005652437,0.0004916275,0.0000357748,0.000008398094,0.0003026865],"genre_scores_gemma":[0.9975775,0.001283131,0.0003947026,0.0001603679,0.0001850367,0.00001472794,0.000001229431,0.00002701626,0.0003562951],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1729064,"threshold_uncertainty_score":0.625842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05262955777954218,"score_gpt":0.315518580080046,"score_spread":0.2628890223005038,"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."}}