{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004329291,0.0002599293,0.0002692419,0.0006027926,0.0001279057,0.0004166333,0.00007525459,0.0003685735,0.0003931393],"category_scores_gemma":[0.0007600941,0.0002581019,0.0002507312,0.0002077309,0.0002940222,0.000366165,0.0001712243,0.0002512989,0.0002063644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001968625,"about_ca_system_score_gemma":0.0001381225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002376158,"about_ca_topic_score_gemma":0.0006221952,"domain_scores_codex":[0.9996465,0.00005693347,0.00005493996,0.000120348,0.00008068945,0.00004054559],"domain_scores_gemma":[0.9996853,0.00009199164,0.0001229224,0.00001781726,0.00005180218,0.00003017114],"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":[0.0009303702,0.00006544505,0.1783844,0.0002229585,0.00005864599,0.0002696604,0.0002504522,0.000477118,0.8076702,0.0001921099,0.0002071786,0.01127151],"study_design_scores_gemma":[0.00004187406,0.001795813,0.4583845,0.00006184596,0.0002994213,0.004351287,0.0006177167,0.01065311,0.5182754,0.0004833857,0.004990469,0.00004526828],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955538,0.0007887131,0.00273588,0.00003116887,0.00001412297,0.00002417903,0.0002076632,0.0000538327,0.000590525],"genre_scores_gemma":[0.9942858,0.0003370062,0.004539114,0.00005323976,0.000006554492,0.00003071219,0.0003972347,0.000009094587,0.0003413279],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006027926,"threshold_uncertainty_score":0.002289534,"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."}}