{"id":"W2027490290","doi":"10.1016/j.joca.2010.12.011","title":"Canine hip dysplasia is predictable by genotyping","year":2011,"lang":"en","type":"article","venue":"Osteoarthritis and Cartilage","topic":"Veterinary Orthopedics and Neurology","field":"Veterinary","cited_by":45,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Institute of Arthritis and Musculoskeletal and Skin Diseases; National Institutes of Health; National Institute of General Medical Sciences; National Natural Science Foundation of China; Cornell University","keywords":"Genotyping; Hip dysplasia; Genotype; Labrador Retriever; Predictive value; Single-nucleotide polymorphism; Dysplasia; Medicine; Biology; Genetics; Internal medicine; Gene; Pathology; Surgery; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000129476,0.0002094732,0.0002504512,0.00005141692,0.000192085,0.00003761311,0.0001243574,0.0001325871,0.002185867],"category_scores_gemma":[0.00001210597,0.0002165371,0.00005999493,0.00008532915,0.000114022,0.0001782778,0.0001485668,0.0001695701,0.0001053613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000898165,"about_ca_system_score_gemma":0.00001737615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008483875,"about_ca_topic_score_gemma":0.00004206852,"domain_scores_codex":[0.9986605,0.00006665571,0.0002600192,0.0004361496,0.000136354,0.0004403386],"domain_scores_gemma":[0.9993907,0.00002185883,0.00006791586,0.0002976907,0.000031305,0.0001904865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008689187,0.0001402324,0.01121566,0.0000814792,0.00001598127,0.002965426,0.003182046,9.27532e-8,0.935334,0.0006126784,0.01943011,0.02615339],"study_design_scores_gemma":[0.005614018,0.03030048,0.009724673,0.0002431111,0.0001862371,0.01281826,0.0006427675,0.00008409463,0.1033716,0.0008688965,0.8342372,0.001908721],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9623966,0.003267739,0.00001456979,0.0001406155,0.0002295964,0.000183878,0.0001984354,0.00009232934,0.03347623],"genre_scores_gemma":[0.996747,0.0004296777,0.0001058476,0.00103519,0.00007865841,0.00004247059,0.00001926224,0.00004205927,0.001499843],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8319624,"threshold_uncertainty_score":0.9987262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03491547400693974,"score_gpt":0.2476854297717351,"score_spread":0.2127699557647954,"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."}}