{"id":"W17432920","doi":"10.1021/nl062317o","title":"Breed Predispositions to Disease in Cats and Dogs, 2nd edition","year":2011,"lang":"en","type":"article","venue":"Canadian veterinary journal","topic":"Veterinary Oncology Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Breed; Inbreeding; Disease; Genetic predisposition; Medicine; Biology; Genetics; Population; Environmental health; Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0002459105,0.0001193205,0.0001740347,0.0006984333,0.0001887121,0.00002916459,0.0001076047,0.00007682397,0.0008403653],"category_scores_gemma":[0.00007783262,0.0001216057,0.00004083,0.0002059662,0.0001027185,0.0001975102,0.00004385645,0.000399184,0.00004536071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004914991,"about_ca_system_score_gemma":0.0008760404,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01011402,"about_ca_topic_score_gemma":0.01208695,"domain_scores_codex":[0.9988704,0.00009369832,0.0002090289,0.0002029688,0.0001478595,0.000476014],"domain_scores_gemma":[0.9970765,0.00001822983,0.00002863566,0.0001811784,0.00008358353,0.002611833],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007102402,0.000723084,0.667401,0.000285431,0.0001806796,0.2313301,0.007516162,0.000008070015,0.03440448,0.0003367383,0.03450937,0.01620244],"study_design_scores_gemma":[0.0009392056,0.0033219,0.9565848,0.0001786884,0.00002737175,0.03116081,0.0001207713,0.00004885587,0.000006282617,0.0002627154,0.007218122,0.0001304587],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918336,0.0001807185,0.00004602183,0.004271977,0.0002888188,0.0003342949,0.00005816501,0.00001218344,0.002974242],"genre_scores_gemma":[0.9967241,0.00005237433,0.00168784,0.0008742761,0.0003023135,0.00003375718,0.00001814202,0.00002061269,0.0002865813],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2891838,"threshold_uncertainty_score":0.9964777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07944105626671374,"score_gpt":0.3282553345156623,"score_spread":0.2488142782489486,"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."}}