{"id":"W2076746608","doi":"10.1007/s13277-013-0928-3","title":"MiRNA expression signature for potentially predicting the prognosis of ovarian serous carcinoma","year":2013,"lang":"en","type":"article","venue":"Tumor Biology","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":67,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Ovarian carcinoma; Serous fluid; Signature (topology); microRNA; Oncology; Expression (computer science); Ovarian cancer; Internal medicine; Cancer research; Medicine; Computer science; Biology; Cancer; Gene; Genetics","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":[0.0001255007,0.0001170782,0.0001228038,0.00002424702,0.00008096899,0.00000995253,0.0002046998,0.0001424855,0.00005123626],"category_scores_gemma":[0.0001025933,0.00007968678,0.00009723072,0.00004655153,0.0001026483,0.000003342423,0.0001037178,0.00005908654,0.000003426289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007139739,"about_ca_system_score_gemma":0.00005453136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005476689,"about_ca_topic_score_gemma":0.000007552055,"domain_scores_codex":[0.9991875,0.00008486881,0.0002096592,0.000264446,0.0000470794,0.0002064244],"domain_scores_gemma":[0.9993358,0.0000251632,0.0001682831,0.0002721359,0.0001558316,0.00004283072],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006499275,0.00003324122,0.0138154,0.00003260084,0.00002623061,3.1672e-7,0.00002498456,0.00001691765,0.9827112,0.00004660849,0.001881088,0.001346419],"study_design_scores_gemma":[0.0004889275,0.0002826142,0.05265619,0.00001637518,0.00003098767,0.00001423404,0.0000586177,0.0001977645,0.9432051,0.0003177756,0.00261379,0.0001175847],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953876,0.0008145421,0.002387296,0.0002807711,0.0001442519,0.0008071899,0.00006799369,0.00001196568,0.00009841427],"genre_scores_gemma":[0.9972222,0.000005148087,0.001786522,0.0001295616,0.0002445466,0.0002014135,0.0003038407,0.00001777432,0.00008899556],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03950606,"threshold_uncertainty_score":0.3249533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007569653302639994,"score_gpt":0.2292483819253797,"score_spread":0.2216787286227397,"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."}}