{"id":"W2791407485","doi":"10.1111/vcp.12570","title":"Prevalence of antinuclear and anti‐erythrocyte antibodies in healthy cats","year":2018,"lang":"en","type":"article","venue":"Veterinary Clinical Pathology","topic":"Blood groups and transfusion","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"OVC Pet Trust","keywords":"CATS; Anti-nuclear antibody; Titer; Medicine; Antibody; Serial dilution; Coombs test; Indirect immunofluorescence; Agglutination (biology); Immunology; Gastroenterology; Internal medicine; Pathology; Autoantibody","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005928089,0.0001132887,0.0005342485,0.00009723083,0.00003966869,0.000002335033,0.0000681758,0.0001986187,0.00005575244],"category_scores_gemma":[0.0001462141,0.00009528926,0.00006985237,0.0001086753,0.0008915207,0.00005047683,0.0001024684,0.0002485694,0.00001899175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004823536,"about_ca_system_score_gemma":0.00002872026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002334945,"about_ca_topic_score_gemma":0.000006634441,"domain_scores_codex":[0.9984729,0.0001918717,0.0006310124,0.000386538,0.00008581001,0.000231851],"domain_scores_gemma":[0.9992843,0.0001741012,0.0001078536,0.0002758009,0.00006039087,0.00009756292],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002473563,0.0006423756,0.9450566,0.000758182,0.00001575353,0.000897567,0.0003204255,3.939952e-8,0.03597036,0.00008904492,0.00004808071,0.01372807],"study_design_scores_gemma":[0.002206175,0.0162822,0.9790339,0.0002006507,0.00003996863,0.001041731,0.00002939499,0.00002861461,0.0003314914,0.00006732121,0.0006545386,0.00008397268],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975172,0.0007195222,0.00001901283,0.000734764,0.0003042041,0.0002170895,0.000009695837,0.00002590333,0.0004526286],"genre_scores_gemma":[0.9925407,0.004877713,0.001688121,0.0006856059,0.0001579782,0.000002232525,0.00000218269,0.00001433532,0.00003117168],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03563887,"threshold_uncertainty_score":0.3885783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07323448240889391,"score_gpt":0.3980160779722333,"score_spread":0.3247815955633394,"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."}}