{"id":"W2132666106","doi":"10.1177/0300985814543198","title":"Prognostic Value of Histologic Grading for Feline Mammary Carcinoma","year":2014,"lang":"en","type":"article","venue":"Veterinary Pathology","topic":"Veterinary Oncology Research","field":"Medicine","cited_by":105,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Saskatchewan","funders":"","keywords":"Grading (engineering); Lymphovascular invasion; Medicine; Population; Prognostic variable; Oncology; Survival analysis; Mammary gland; Pathology; Internal medicine; Breast cancer; Overall survival; Cancer; Biology; Metastasis","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":[0.001392196,0.0002171805,0.0002186353,0.0008878904,0.0001786015,0.0004152354,0.0002073622,0.0002429274,0.0007105342],"category_scores_gemma":[0.005237955,0.000099079,0.0002525816,0.000421379,0.0002686713,0.0004028042,0.0002278699,0.0001998293,0.0001435362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003201832,"about_ca_system_score_gemma":0.0002009632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001641978,"about_ca_topic_score_gemma":0.004029002,"domain_scores_codex":[0.9995666,0.0001592107,0.0000611685,0.00005970107,0.0001058313,0.0000475032],"domain_scores_gemma":[0.9975715,0.0005597774,0.001090755,0.0001581658,0.0004025181,0.0002172611],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009801207,0.000006698886,0.9932094,0.000006987103,0.00001670518,0.00006718697,0.00001830323,0.0001255636,0.00103381,0.000009869523,0.00004719559,0.005360154],"study_design_scores_gemma":[0.000003751303,0.0001285406,0.9977653,0.000009161749,0.00003424804,0.0005060224,0.00005406116,0.0008654931,0.0004101286,0.0000258502,0.0001922295,0.000005085062],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988101,0.0003642588,0.000343476,0.00003645644,0.000008507171,0.00001035259,0.00006270722,0.000006345659,0.0003578578],"genre_scores_gemma":[0.9993167,0.0001051806,0.0003644378,0.000007990381,0.000006853882,0.000003267343,0.0001100113,0.000001436719,0.00008404686],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001641978,"threshold_uncertainty_score":0.007362723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07810268064488683,"score_gpt":0.3587972122142809,"score_spread":0.2806945315693941,"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."}}