{"id":"W1984043016","doi":"10.4137/mri.s13755","title":"Mrs-based Metabolomics in Cancer Research","year":2014,"lang":"en","type":"review","venue":"Magnetic Resonance Insights","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Winnipeg; University of Manitoba; National Research Council Institute for Biodiagnostics","funders":"","keywords":"Metabolomics; Computer science; Cancer; Prostate cancer; Medical physics; Breast cancer; Disease; Computational biology; Bioinformatics; Data science; Medicine; Pathology; Biology; Internal medicine","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":[0.0008420415,0.0005978768,0.001833598,0.0005918333,0.0001528819,0.00006660837,0.0008039398,0.0006415781,0.00008618848],"category_scores_gemma":[0.0002724432,0.000477679,0.0004032824,0.000938778,0.0003041823,0.000003036852,0.000352509,0.0007367179,0.00006074999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009687413,"about_ca_system_score_gemma":0.0006027302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000143549,"about_ca_topic_score_gemma":0.00073007,"domain_scores_codex":[0.996003,0.0007138946,0.0008259674,0.001190216,0.000461059,0.0008058547],"domain_scores_gemma":[0.9982083,0.0001521357,0.0002234575,0.001092073,0.0001962114,0.000127832],"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":[0.00003799901,0.0001325028,0.00002880314,0.002649535,0.00005066045,0.00002126546,0.00002330187,0.000006623836,0.0003757085,0.0008284141,0.005902493,0.9899427],"study_design_scores_gemma":[0.0004345374,0.000292507,0.00005767001,0.001500829,0.0001065561,0.000003544123,0.000005735397,0.00001970817,0.0002218732,0.0001580702,0.9966766,0.000522336],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0006183597,0.9949782,0.00001909605,0.00006177928,0.000449821,0.0009061533,0.00005057498,0.00001302712,0.002903028],"genre_scores_gemma":[0.000170103,0.9940301,0.000470109,0.000117877,0.0006650493,0.0008981879,0.0001172357,0.0001031411,0.003428251],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9907742,"threshold_uncertainty_score":0.9997675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06947963187238389,"score_gpt":0.3846317968523765,"score_spread":0.3151521649799926,"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."}}