{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001273797,0.0008949118,0.00294344,0.0002217861,0.0004048083,0.0001241632,0.0008147685,0.0003586826,0.0001333735],"category_scores_gemma":[0.0004005294,0.0004444019,0.0008594883,0.0003221741,0.0008395013,0.00001097399,0.001046259,0.0003530006,0.00003260464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000164319,"about_ca_system_score_gemma":0.0001645803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005365677,"about_ca_topic_score_gemma":0.00002571588,"domain_scores_codex":[0.9964761,0.0006209984,0.0008695328,0.001094561,0.0002748868,0.0006639782],"domain_scores_gemma":[0.9975975,0.0001853289,0.000618224,0.001309778,0.0001273388,0.0001618877],"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":[0.00006610462,0.00008467431,0.00003881809,0.003050722,0.005998109,0.000005288036,0.00003934476,8.713607e-8,0.006286738,0.1028458,0.005767995,0.8758163],"study_design_scores_gemma":[0.001131501,0.00001906683,0.00001214523,0.0004467058,0.003140421,0.00002255018,0.00001116382,2.497157e-7,0.0005975441,0.0004785917,0.9935395,0.0006005389],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001705272,0.9957978,0.00008341599,0.0001546706,0.0006318189,0.0009319501,0.001337281,0.00002757635,0.0008650129],"genre_scores_gemma":[0.00003457527,0.9919748,0.0004555956,0.0002162765,0.00155163,0.0007759668,0.0003640383,0.0001258435,0.004501287],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9877715,"threshold_uncertainty_score":0.9998008,"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."}}