{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002628321,0.0007954316,0.001574479,0.002450258,0.0004905136,0.00204224,0.001105168,0.002890022,0.00291189],"category_scores_gemma":[0.002210034,0.000295956,0.0006998322,0.003735816,0.001873247,0.002440608,0.001589689,0.00301129,0.002358695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001953809,"about_ca_system_score_gemma":0.001564816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001348789,"about_ca_topic_score_gemma":0.001364942,"domain_scores_codex":[0.9989981,0.0004104977,0.00006043059,0.0001796976,0.0002645906,0.00008667417],"domain_scores_gemma":[0.9988725,0.0005563168,0.000110961,0.00006597347,0.0002978077,0.00009645957],"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":[0.000232907,0.000113147,0.001925621,0.009526136,0.0002291935,0.001012463,0.0003663015,0.003645618,0.01893476,0.153731,0.07045779,0.7398251],"study_design_scores_gemma":[0.00002546473,0.0003364403,0.003501648,0.003043934,0.0001088552,0.002483373,0.0004023418,0.002667051,0.005036515,0.1391266,0.843128,0.0001399124],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001097273,0.9655992,0.0149222,0.008963706,0.00211281,0.00002917479,0.0001278357,0.0001214965,0.007026424],"genre_scores_gemma":[0.01920295,0.9522806,0.01692815,0.003201769,0.004761387,0.00005716645,0.0001738108,0.00003126917,0.003362732],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00291189,"threshold_uncertainty_score":0.01417595,"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."}}