{"id":"W2886543388","doi":"10.1158/1538-7445.am2018-2652","title":"Abstract 2652: Metabolomics biomarkers for endometrial cancer and its recurrence after surgery in postmenopausal women","year":2018,"lang":"en","type":"article","venue":"Cancer Research","topic":"Cancer, Lipids, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Centre hospitalier universitaire de Québec","funders":"","keywords":"Endometrial cancer; Metabolomics; Medicine; Biomarker; Serous fluid; Internal medicine; Cancer; Metabolite; Gastroenterology; Oncology; Physiology; Biology; Bioinformatics; Biochemistry","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":[0.000249238,0.0002711295,0.0003092593,0.0008887898,0.0001779422,0.0003305454,0.0001191381,0.0002925801,0.0009120318],"category_scores_gemma":[0.0004305551,0.00009702414,0.0002288638,0.0006950612,0.00007986713,0.000111839,0.000234506,0.0001724138,0.0001967825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001515541,"about_ca_system_score_gemma":0.0001640901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001072763,"about_ca_topic_score_gemma":0.001248293,"domain_scores_codex":[0.9999081,0.00002015447,0.00001125783,0.00002009248,0.00002679343,0.00001360098],"domain_scores_gemma":[0.9998519,0.00002328793,0.0000645905,0.00000643148,0.00003399564,0.00001977356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002509399,0.0001418576,0.8627051,0.0003102273,0.0003207457,0.0004785495,0.0001257733,0.0001540783,0.1043624,0.00004068846,0.0005458969,0.0283053],"study_design_scores_gemma":[0.00003301069,0.001026755,0.9820452,0.00003203406,0.0001895904,0.001036484,0.0001557831,0.0005862793,0.0135022,0.00006657814,0.001314509,0.00001141911],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930976,0.004972646,0.0003121496,0.00008791251,0.00001805366,0.00002696178,0.001028414,0.00001750095,0.0004387375],"genre_scores_gemma":[0.9968732,0.001010193,0.0008192897,0.0000760097,0.00002251428,0.00002425642,0.0006771506,0.000003158586,0.00049439],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001072763,"threshold_uncertainty_score":0.003051102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05776526754391986,"score_gpt":0.3816395771092767,"score_spread":0.3238743095653568,"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."}}