{"id":"W2411747436","doi":"10.1038/srep16351","title":"Highly-accurate metabolomic detection of early-stage ovarian cancer","year":2015,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":89,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Alberta Health Services; Ovarian Cancer Research Fund","keywords":"Metabolome; Metabolomics; Ovarian cancer; Stage (stratigraphy); Cohort; Cancer; Diagnostic biomarker; Diagnostic test; Medicine; Internal medicine; Oncology; Bioinformatics; Computational biology; Biology; Pediatrics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009260696,0.0001316779,0.0002149661,0.0001099116,0.0001083801,0.0000593329,0.0001140804,0.0000791264,0.00002357252],"category_scores_gemma":[0.0001667808,0.0001146288,0.00009511913,0.0003028246,0.0001657329,0.000008880775,0.0001332146,0.00005638707,0.000004431579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001834749,"about_ca_system_score_gemma":0.0001703252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002864415,"about_ca_topic_score_gemma":0.0001689253,"domain_scores_codex":[0.9985606,0.00004195578,0.0003679141,0.0005435059,0.0002522244,0.000233783],"domain_scores_gemma":[0.9986575,0.000003197475,0.0003347133,0.0006107657,0.0002812584,0.0001125891],"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":[0.00004003311,0.00002803721,0.002845025,0.000008558003,0.00006969053,0.00001164811,0.00006100464,0.00006764929,0.9943704,0.0000864165,0.00167342,0.0007381205],"study_design_scores_gemma":[0.0001753285,0.00006987627,0.003213248,0.00000330284,0.0000292374,0.00001542257,0.00005682516,0.00001969465,0.8100631,0.0004980982,0.1857312,0.0001246468],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989409,0.002159029,0.0009656068,0.00005027836,0.006004614,0.0001662232,0.00001257884,0.00001341955,0.001219233],"genre_scores_gemma":[0.9928503,0.0001045071,0.0004212638,0.00001506056,0.0001409649,0.00002745006,0.00002871697,0.00001395697,0.006397767],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1843073,"threshold_uncertainty_score":0.4674428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02271748906494914,"score_gpt":0.2741514571106929,"score_spread":0.2514339680457437,"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."}}