{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007698966,0.0002082205,0.0006717962,0.000331952,0.00008655216,0.000004320579,0.0002641858,0.0002607928,0.00003592702],"category_scores_gemma":[0.0007508725,0.0001893093,0.0001668134,0.0001896088,0.0003396554,0.0000658572,0.0002302721,0.0002434955,0.00002128988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007285637,"about_ca_system_score_gemma":0.0001097971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005086416,"about_ca_topic_score_gemma":3.185215e-7,"domain_scores_codex":[0.9980646,0.0003499399,0.0004355402,0.0004824971,0.0001486328,0.0005187232],"domain_scores_gemma":[0.9984539,0.000536119,0.0001413665,0.0005684122,0.0001565488,0.0001437143],"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":[0.002446779,0.0006567773,0.1452979,0.001296622,0.00007013151,0.005074852,0.0002412709,0.000007151564,0.8237066,0.004602442,0.0009221317,0.01567733],"study_design_scores_gemma":[0.008035689,0.1228208,0.6733779,0.0001741381,0.0003035038,0.1384474,0.00008101358,0.01350958,0.001904415,0.003256462,0.03747613,0.0006129736],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9793311,0.0004220962,0.01627365,0.001251189,0.0003985458,0.0008927385,0.00001325993,0.00009502489,0.001322371],"genre_scores_gemma":[0.9505042,0.00002258689,0.04806796,0.0003545388,0.0001840426,0.0002366355,0.00005557806,0.00003647089,0.0005379628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8218022,"threshold_uncertainty_score":0.7719808,"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."}}