{"id":"W2591676680","doi":"10.1177/1178623x17694346","title":"Diagnostic Applications of Nuclear Magnetic Resonance–Based Urinary Metabolomics","year":2017,"lang":"en","type":"review","venue":"Magnetic Resonance Insights","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Winnipeg","funders":"","keywords":"Metabolomics; Urinary system; Magnetic resonance imaging; Nuclear magnetic resonance; Medicine; Physics; Chemistry; Radiology; Internal medicine; Chromatography","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":[0.001270174,0.000838013,0.001236479,0.003611681,0.0002780376,0.001242197,0.0009836452,0.001468256,0.00268903],"category_scores_gemma":[0.001814163,0.0003118047,0.00072553,0.002039589,0.0007620803,0.001436397,0.0008180552,0.001855188,0.001559582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008552769,"about_ca_system_score_gemma":0.001148114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001201487,"about_ca_topic_score_gemma":0.001602376,"domain_scores_codex":[0.9996029,0.00009441447,0.0000488118,0.00007718719,0.0001462782,0.0000303691],"domain_scores_gemma":[0.9990579,0.0005653846,0.00008015217,0.00002715745,0.000229991,0.0000393493],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00007255741,0.00006945081,0.0008592097,0.01409401,0.0001660311,0.000679684,0.0000874547,0.0005240743,0.003479401,0.009508126,0.02315484,0.9473051],"study_design_scores_gemma":[0.00001129153,0.00008999154,0.001834255,0.003645643,0.0001271128,0.004618019,0.00009726713,0.0002350922,0.002442169,0.005118064,0.981728,0.0000531914],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002042329,0.9962875,0.0006603256,0.0006500383,0.0003343702,0.000007924839,0.00003556968,0.00001322194,0.00180679],"genre_scores_gemma":[0.001787757,0.9959416,0.0007583594,0.0003895854,0.0003699553,0.00001130234,0.00005329843,0.000003157434,0.0006849742],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003611681,"threshold_uncertainty_score":0.008995712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03019351987567496,"score_gpt":0.297250377358958,"score_spread":0.267056857483283,"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."}}