{"id":"W2602776240","doi":"10.1016/j.mri.2017.03.010","title":"Feasibility of in-vivo semi-LASER renal magnetic resonance spectroscopy (MRS): Pilot study in healthy volunteers","year":2017,"lang":"en","type":"article","venue":"Magnetic Resonance Imaging","topic":"MRI in cancer diagnosis","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Siemens (Canada); University of Toronto; University Health Network","funders":"","keywords":"In vivo; Magnetic resonance imaging; Nuclear magnetic resonance; Laser; Spectroscopy; Medicine; Nuclear magnetic resonance spectroscopy; Nuclear medicine; Radiology; Physics; Biology; Optics","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":[0.001617082,0.0007428072,0.0005221074,0.0001993775,0.0008947268,0.0004200783,0.0004183095,0.001020534,0.003173669],"category_scores_gemma":[0.001675588,0.00042716,0.0002719466,0.0001495472,0.0008954185,0.0006657991,0.0004211684,0.0007254808,0.0007813255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001065513,"about_ca_system_score_gemma":0.0003854614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001206166,"about_ca_topic_score_gemma":0.001143431,"domain_scores_codex":[0.999562,0.0002025206,0.00001619965,0.000127666,0.00002608916,0.00006552779],"domain_scores_gemma":[0.9988362,0.0004608658,0.00006331695,0.0002116921,0.0001599268,0.0002680375],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.1254415,0.04224936,0.09762774,0.0007150363,0.0003177184,0.002871113,0.004612931,0.0006865141,0.6820209,0.0006218146,0.001938136,0.04089725],"study_design_scores_gemma":[0.01363116,0.3778055,0.4957827,0.00005389949,0.001152642,0.006140412,0.004457533,0.005480157,0.08759916,0.00144397,0.006313111,0.0001397439],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963028,0.0001314053,0.002394159,0.00007576435,0.00003285589,0.0003788996,0.0001355772,0.00003685908,0.0005114879],"genre_scores_gemma":[0.9954301,0.00012802,0.002975304,0.0001656995,0.00007531705,0.0003043231,0.0002113,0.00002951664,0.0006803002],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003173669,"threshold_uncertainty_score":0.01061702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03471424217439296,"score_gpt":0.3395944649475747,"score_spread":0.3048802227731818,"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."}}