{"id":"W4213217373","doi":"10.1111/jvim.16374","title":"Serial analysis of blood biomarker concentrations in dogs with pneumonia, septic peritonitis, and pyometra","year":2022,"lang":"en","type":"article","venue":"Journal of Veterinary Internal Medicine","topic":"Animal health and immunology","field":"Veterinary","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"College of Veterinary Medicine, Cornell University","keywords":"Medicine; Biomarker; Procalcitonin; Haptoglobin; Interquartile range; Gastroenterology; Internal medicine; Community-acquired pneumonia; Immunology; Sepsis; Pneumonia","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0005447758,0.000192901,0.0003968988,0.000460526,0.0002256307,0.0004343033,0.0001759339,0.0003320527,0.0004851757],"category_scores_gemma":[0.0009657356,0.000198058,0.0001680497,0.0002857284,0.000347414,0.0002077117,0.0002662112,0.0005232223,0.000165946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005404969,"about_ca_system_score_gemma":0.0003084639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008100893,"about_ca_topic_score_gemma":0.00178628,"domain_scores_codex":[0.9996376,0.00005958722,0.00002649983,0.00008761987,0.0001279546,0.00006077453],"domain_scores_gemma":[0.9990363,0.0001527908,0.000407411,0.00004073129,0.0001986798,0.0001641139],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005436089,0.0004785823,0.7946512,0.0001170922,0.00009737029,0.0005180422,0.0005088226,0.0003479933,0.1819447,0.0000385196,0.0004447694,0.01541689],"study_design_scores_gemma":[0.00003802682,0.006174482,0.9578606,0.00001411041,0.00007759203,0.0008956985,0.0002936248,0.0008924321,0.03278808,0.00003454337,0.0009167274,0.00001413793],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988382,0.0002903633,0.0004153916,0.00001720543,0.000004046212,0.00002630008,0.0001498666,0.00001199332,0.0002465765],"genre_scores_gemma":[0.9981644,0.0001534042,0.0009518787,0.00004000197,0.000005528193,0.00004656348,0.0004514973,0.000001971467,0.0001848766],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008100893,"threshold_uncertainty_score":0.003921568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05396222751063337,"score_gpt":0.3575664026388499,"score_spread":0.3036041751282166,"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."}}