{"id":"W4407749007","doi":"10.1177/03009858251317466","title":"MicroRNAs in serum and tissue can differentiate splenic hemangiosarcoma from other splenic masses in dogs","year":2025,"lang":"en","type":"article","venue":"Veterinary Pathology","topic":"Veterinary Oncology Research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"OVC Pet Trust; Natural Sciences and Engineering Research Council of Canada; Ontario Veterinary College, University of Guelph","keywords":"Hemangiosarcoma; Pathology; Spleen; Medicine; microRNA; Malignancy; Adipose tissue; Histology; Biology; Angiosarcoma; Internal medicine; Gene","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002775205,0.0002790502,0.0006999501,0.0007817716,0.00004691145,0.00001543761,0.0002151556,0.0003295695,0.0005914065],"category_scores_gemma":[0.00005856366,0.0002724943,0.00006037077,0.0004154637,0.0002856045,0.00006469927,0.0004871424,0.0005226755,0.00005033842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001466589,"about_ca_system_score_gemma":0.0001233807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008013372,"about_ca_topic_score_gemma":0.001144202,"domain_scores_codex":[0.9977037,0.0004448238,0.0004369643,0.0006784404,0.0001012132,0.0006349159],"domain_scores_gemma":[0.9991047,0.0002049498,0.00006059071,0.0005145262,0.00002562269,0.00008958128],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0007359747,0.0003000879,0.4317089,0.0001596654,0.00004070302,0.01214998,0.000447628,3.221384e-7,0.5500376,0.00003075383,0.0001092765,0.004279148],"study_design_scores_gemma":[0.004523294,0.002680136,0.979187,0.0002832066,0.00003878571,0.004905509,0.0001618556,0.00004295612,0.002069927,0.0004185508,0.005471361,0.0002174186],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932102,0.002293032,0.00002606844,0.002669567,0.0002866932,0.0005785905,0.00007301183,0.00005344293,0.0008093911],"genre_scores_gemma":[0.9958681,0.0002277355,0.001175411,0.000606221,0.00004367341,0.0001123544,0.00004244031,0.00003806094,0.001885972],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5479677,"threshold_uncertainty_score":0.9999727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03550617652649254,"score_gpt":0.3553497574999836,"score_spread":0.3198435809734911,"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."}}