{"id":"W1968578021","doi":"10.1002/path.4056","title":"Use of mutation profiles to refine the classification of endometrial carcinomas","year":2012,"lang":"en","type":"article","venue":"The Journal of Pathology","topic":"Endometrial and Cervical Cancer Treatments","field":"Medicine","cited_by":299,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver General Hospital; Canada's Michael Smith Genome Sciences Centre; University of British Columbia; BC Cancer Agency","funders":"National Cancer Institute; University of British Columbia; Michael Smith Health Research BC; Canadian Institutes of Health Research; Canada's Michael Smith Genome Sciences Centre","keywords":"PTEN; KRAS; Serous fluid; Carcinosarcoma; ARID1A; Carcinoma; Cancer research; Mutation; Clear cell; Endometrial cancer; Biology; Serous carcinoma; Gene mutation; Oncology; Gene; Medicine; Pathology; Internal medicine; Cancer; Genetics; PI3K/AKT/mTOR pathway","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001023674,0.00006085662,0.0002847885,0.0001884764,0.00002463886,0.000001693911,0.00009104136,0.00004509794,0.00005128472],"category_scores_gemma":[0.001270412,0.00002692414,0.00008983054,0.0004075647,0.00008373251,0.00006407552,0.00002162485,0.0001222497,0.00000448808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004149816,"about_ca_system_score_gemma":0.00004611695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003493867,"about_ca_topic_score_gemma":0.000003412898,"domain_scores_codex":[0.9988922,0.0002775698,0.0004462505,0.000038893,0.000232904,0.0001121549],"domain_scores_gemma":[0.9983117,0.0007121729,0.0004964435,0.0001657815,0.0002528563,0.00006103349],"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":[0.01162816,0.0008766467,0.1400299,0.00007657954,0.0003319927,0.00004424774,0.004550482,0.00003401284,0.7895678,0.00152179,0.0007260395,0.05061242],"study_design_scores_gemma":[0.003009659,0.002546437,0.8937513,0.00003959431,0.0005650634,0.0008020973,0.0004134686,0.000004968232,0.09782601,0.0001421337,0.0008617336,0.00003749693],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961535,0.0008495621,0.0004190941,0.001832814,0.0003502274,0.0002302168,0.00000962938,0.000001946364,0.0001529745],"genre_scores_gemma":[0.9986286,0.00008442646,0.000680885,0.0001271405,0.0003974853,0.000003776456,0.000002791262,0.000005942845,0.00006902298],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7537215,"threshold_uncertainty_score":0.1520893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1212096951808317,"score_gpt":0.3457079157481677,"score_spread":0.224498220567336,"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."}}