{"id":"W2073489707","doi":"10.1892/0891-6640(2001)015<0530:bropii>2.3.co;2","title":"Breed Risk of Pyometra in Insured Dogs in Sweden","year":2001,"lang":"en","type":"article","venue":"Journal of Veterinary Internal Medicine","topic":"Veterinary Orthopedics and Neurology","field":"Veterinary","cited_by":135,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Pyometra; Medicine; Breed; German Shepherd Dog; Labrador Retriever; Confidence interval; Veterinary medicine; Demography; Internal medicine; Animal science; Surgery; Biology; Uterus","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006824291,0.0001778326,0.0003502043,0.001251575,0.000210019,0.000688674,0.0002501908,0.0003711941,0.0006620794],"category_scores_gemma":[0.002276716,0.0002961366,0.0004579046,0.001035259,0.0002426998,0.0003526561,0.0005745997,0.0002846596,0.0001066707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000390124,"about_ca_system_score_gemma":0.0002998118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01015964,"about_ca_topic_score_gemma":0.01193418,"domain_scores_codex":[0.9993864,0.0001742312,0.00009410919,0.0001222762,0.0001258542,0.00009706838],"domain_scores_gemma":[0.9981191,0.0004268822,0.001092525,0.00008479419,0.00009510475,0.0001815962],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005210803,0.000007546855,0.9991255,0.000004085513,0.00002265812,0.00006474443,0.00003904952,0.00006073615,0.00006109365,0.00000587064,0.00002593525,0.0005305498],"study_design_scores_gemma":[0.000002462542,0.00003237755,0.999323,0.000005874253,0.0000138591,0.0002250343,0.00007538524,0.0002476404,0.00002092646,0.000007101288,0.00004494852,0.000001332923],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999655,0.0001273121,0.0000162025,0.000008619358,6.958784e-7,0.000001073615,0.0001467357,0.000001376183,0.00004300068],"genre_scores_gemma":[0.9990048,0.0001632017,0.00005484973,0.000005852619,0.00000253716,0.000003903316,0.0007139615,0.000001113354,0.00004976667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01015964,"threshold_uncertainty_score":0.02020103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09469445522647989,"score_gpt":0.377945878668322,"score_spread":0.2832514234418421,"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."}}