{"id":"W3097353501","doi":"10.1002/mrm.28574","title":"Combining chemical exchange saturation transfer and<sup>1</sup>H magnetic resonance spectroscopy for simultaneous determination of metabolite concentrations and effects of magnetization exchange","year":2020,"lang":"en","type":"article","venue":"Magnetic Resonance in Medicine","topic":"Lanthanide and Transition Metal Complexes","field":"Materials Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Magnetization transfer; Chemistry; Metabolite; Magnetization; Nuclear magnetic resonance; Saturation (graph theory); Spectroscopy; Spectral line; Analytical Chemistry (journal); Nuclear magnetic resonance spectroscopy; Magnetic field; Chromatography; Magnetic resonance imaging; Physics; Stereochemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.0002787263,0.000193261,0.0005098584,0.00008830194,0.00004946116,0.00001693206,0.0001147526,0.00008664912,0.0001331544],"category_scores_gemma":[0.0004472563,0.0001709652,0.00003053439,0.0003014337,0.0003646385,0.0001451459,0.00002186662,0.00009259029,8.334007e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001360161,"about_ca_system_score_gemma":0.00002128535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005962062,"about_ca_topic_score_gemma":0.0000189871,"domain_scores_codex":[0.9983657,0.0001366133,0.0005633761,0.0003845636,0.0003090691,0.0002406664],"domain_scores_gemma":[0.9988939,0.0006537489,0.00008899709,0.0001379503,0.0001333453,0.0000920832],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003102833,0.00004361516,0.000343982,0.001168123,0.000001076179,0.000009082104,0.005780877,0.00001506143,0.9467092,0.000778992,0.00002111131,0.04481857],"study_design_scores_gemma":[0.008169637,0.004449432,0.01116092,0.0009174299,0.0002039199,0.00002213133,0.0004103505,0.1003221,0.8692731,0.001384193,0.003286355,0.0004003886],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9202721,0.0671939,0.01010755,0.001007633,0.00008091312,0.001167885,0.00007381706,0.00002883758,0.00006741946],"genre_scores_gemma":[0.9884895,0.003207801,0.007699087,0.0003156532,0.0001100665,0.00009053695,0.00004338673,0.00001819237,0.00002578664],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1003071,"threshold_uncertainty_score":0.697176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01422533380778085,"score_gpt":0.2502569587927608,"score_spread":0.23603162498498,"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."}}