{"id":"W2975215451","doi":"","title":"Hemangiosarcoma within an intermuscular lipoma in a golden retriever dog.","year":2017,"lang":"en","type":"article","venue":"PubMed","topic":"Veterinary Oncology Research","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cegep de Saint Hyacinthe","funders":"","keywords":"Labrador Retriever; Hemangiosarcoma; Medicine; German Shepherd Dog; Anatomy; Gynecology; Surgery; Angiosarcoma","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001056727,0.0001380291,0.0003339443,0.0001559383,0.0001146399,0.00007371751,0.0004828178,0.000167625,0.00006457941],"category_scores_gemma":[0.0008201301,0.0001210706,0.00008036501,0.0001041505,0.0002420706,0.0003293168,0.0002981627,0.0003995543,0.0000556339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001786111,"about_ca_system_score_gemma":0.00006961045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001739311,"about_ca_topic_score_gemma":0.0001926662,"domain_scores_codex":[0.9984272,0.0001056179,0.0002461807,0.0003739249,0.0003040187,0.0005430293],"domain_scores_gemma":[0.9983295,0.00003484051,0.00009490661,0.0011599,0.00006313952,0.0003177696],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001419765,0.0007076164,0.899363,0.0001442014,0.0001444343,0.009490335,0.001136088,6.110964e-7,0.003048072,0.0001260505,0.00185774,0.08256207],"study_design_scores_gemma":[0.002379147,0.0003650969,0.9927562,0.00003643395,0.00002066428,0.001105567,0.0000563234,0.0001173319,0.0005203565,0.0001407129,0.002377725,0.0001244445],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9879768,0.0001135104,0.000007637276,0.003433587,0.0002341018,0.00110039,0.000002403496,0.00005480546,0.007076728],"genre_scores_gemma":[0.9934404,0.00001146928,0.0004417279,0.0002705108,0.0002265125,0.000745279,0.000008424277,0.00002969531,0.004825978],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09339319,"threshold_uncertainty_score":0.4937116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08087724449711615,"score_gpt":0.3540216130333849,"score_spread":0.2731443685362688,"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."}}