{"id":"W2023174816","doi":"10.1371/journal.pone.0122558","title":"A Genetic Predictive Model for Canine Hip Dysplasia: Integration of Genome Wide Association Study (GWAS) and Candidate Gene Approaches","year":2015,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Veterinary Orthopedics and Neurology","field":"Veterinary","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Eusko Jaurlaritza","keywords":"Genome-wide association study; Medicine; Population; Genetic association; Single-nucleotide polymorphism; Dysplasia; Genetic testing; Hip dysplasia; Bioinformatics; Genetics; Internal medicine; Genotype; Biology; Surgery; Gene; Radiography","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":[0.0003462922,0.000147598,0.0003230702,0.00009212175,0.00005342265,0.00001443823,0.00008978035,0.00009753991,0.000003568936],"category_scores_gemma":[0.000241206,0.0001431589,0.00002894571,0.00007631791,0.00002790023,0.00009675797,0.00008585481,0.0001137279,0.000001874982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009903224,"about_ca_system_score_gemma":0.00006585244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008508503,"about_ca_topic_score_gemma":0.00009999382,"domain_scores_codex":[0.998818,0.0001144423,0.000299003,0.000309014,0.0002583122,0.0002011608],"domain_scores_gemma":[0.9992166,0.0001084287,0.000212713,0.000189827,0.0001757964,0.00009664542],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01001464,0.01075454,0.7540658,0.000409659,0.002777279,0.0001557763,0.02751825,0.005846067,0.1872594,0.0000566464,0.0002158619,0.0009260539],"study_design_scores_gemma":[0.003489837,0.01979019,0.1860823,0.00002400088,0.0007849616,0.0000286346,0.0004975059,0.7876241,0.0008615004,0.0005175687,0.00001080218,0.0002885647],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992827,0.0001023861,0.005315561,0.0002114537,0.00003024494,0.001188069,0.0001842885,0.00003361468,0.0001073848],"genre_scores_gemma":[0.9956132,0.00003962139,0.003635886,0.00005649868,0.00007977692,0.0002950753,0.00005601479,0.00003032384,0.0001935788],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.781778,"threshold_uncertainty_score":0.5837852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1890342047390261,"score_gpt":0.2819959561012794,"score_spread":0.09296175136225335,"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."}}