{"id":"W2775659660","doi":"10.1007/s11306-017-1290-z","title":"Metabolomic prediction of endometrial cancer","year":2017,"lang":"en","type":"article","venue":"Metabolomics","topic":"Endometrial and Cervical Cancer Treatments","field":"Medicine","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Metabolomics; Endometrial cancer; Cancer; Molecular medicine; Computational biology; Biology; Medicine; Bioinformatics; Genetics; Cell cycle","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":[0.0002655617,0.0001552711,0.0006538497,0.0001819793,0.0001558621,0.00002702472,0.0002078628,0.0001103803,0.0005719813],"category_scores_gemma":[0.0006896021,0.0001178384,0.0002488111,0.0001624427,0.000142377,0.0001464998,0.0000805176,0.0001411885,0.00002738295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006549407,"about_ca_system_score_gemma":0.0001194182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005396456,"about_ca_topic_score_gemma":0.00001289756,"domain_scores_codex":[0.9988186,0.00003131734,0.0003712379,0.0002541391,0.0003044647,0.0002202317],"domain_scores_gemma":[0.9986811,0.00006845592,0.0003366662,0.000638935,0.0001391974,0.0001356514],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007728519,0.001004707,0.6402943,0.0002136465,0.002467294,0.00002973425,0.0001573726,0.0000169776,0.1177833,0.004191193,0.001193246,0.2249197],"study_design_scores_gemma":[0.01754106,0.000404793,0.7709034,0.00004955802,0.001702299,0.00001254538,0.00002326542,0.0001032583,0.166657,0.0005261133,0.04192805,0.0001486418],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9860002,0.00480358,0.0001396586,0.0005176383,0.002086554,0.0004394308,0.0003526152,0.00004271286,0.005617658],"genre_scores_gemma":[0.9937444,0.002954548,0.001284262,0.0001088252,0.0008031633,0.00005555684,0.00002561213,0.00002168715,0.00100195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2247711,"threshold_uncertainty_score":0.6262794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0524707945777973,"score_gpt":0.3276323874063554,"score_spread":0.2751615928285581,"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."}}