{"id":"W2288225021","doi":"10.3390/metabo6010010","title":"Cancer Metabolomics and the Human Metabolome Database","year":2016,"lang":"en","type":"review","venue":"Metabolites","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":140,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Institute for Nanotechnology; University of Alberta","funders":"","keywords":"Metabolome; Metabolomics; Cancer; Database; Computational biology; Bioinformatics; Biology; Computer science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001597732,0.0007763917,0.001466368,0.006260311,0.0003037126,0.001711629,0.001310682,0.001292771,0.006199926],"category_scores_gemma":[0.00303767,0.0003511802,0.0008880786,0.007121183,0.0003845094,0.001985569,0.00146613,0.001432629,0.004844253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001141484,"about_ca_system_score_gemma":0.003162999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003129004,"about_ca_topic_score_gemma":0.003174307,"domain_scores_codex":[0.999383,0.0001298287,0.0001203293,0.000097735,0.0002240595,0.0000450105],"domain_scores_gemma":[0.9986964,0.0004524996,0.0001928968,0.0001011443,0.0004348029,0.0001223823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001170702,0.0000501593,0.0006018212,0.01207743,0.0001953289,0.0002229986,0.00004923795,0.0005510388,0.001453404,0.00794123,0.08438455,0.8923557],"study_design_scores_gemma":[0.00001310658,0.00002702942,0.001015409,0.001938263,0.00009086309,0.0006297021,0.00002839499,0.0001908631,0.0007549943,0.002725632,0.992562,0.00002364891],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0006745919,0.9707285,0.00667688,0.003002571,0.000671762,0.0001826788,0.007029509,0.0005326464,0.01050091],"genre_scores_gemma":[0.004389399,0.9611421,0.01253638,0.001657503,0.0005500187,0.000222852,0.01589119,0.0000739823,0.003536579],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006260311,"threshold_uncertainty_score":0.02074081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02972827046780396,"score_gpt":0.3346749171715658,"score_spread":0.3049466467037618,"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."}}