{"id":"W2605468160","doi":"10.1016/j.neuroimage.2017.04.045","title":"Magnetization Transfer Contrast and Chemical Exchange Saturation Transfer MRI. Features and analysis of the field-dependent saturation spectrum","year":2017,"lang":"en","type":"review","venue":"NeuroImage","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":338,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Sunnybrook Health Science Centre","funders":"National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; National Institutes of Health; National Cancer Institute; Vetenskapsrådet; Cancerfonden","keywords":"Magnetization transfer; Chemistry; Nuclear magnetic resonance; Saturation (graph theory); Chemical shift; Magnetization; Field strength; Pulse sequence; Proton; Analytical Chemistry (journal); Nuclear magnetic resonance spectroscopy; Magnetic field; Magnetic resonance imaging; Physical chemistry; Physics; Stereochemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00008257315,0.0002471247,0.0008638211,0.0001467441,0.0001093,0.00004779285,0.0001163782,0.00025259,0.00003430332],"category_scores_gemma":[0.00005421216,0.0001652721,0.0002667778,0.0002350305,0.0001026888,0.00008634244,0.00002887894,0.0003790914,3.677786e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002233281,"about_ca_system_score_gemma":0.00003539181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001649122,"about_ca_topic_score_gemma":0.00004643635,"domain_scores_codex":[0.9988784,0.0000548657,0.0003515422,0.0003918743,0.000192059,0.0001312421],"domain_scores_gemma":[0.9991891,0.000111063,0.0001002219,0.0004920565,0.00004736327,0.00006017764],"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":[0.00005652571,0.00008221526,0.00003386819,0.003489835,0.0001995329,0.000007553826,0.0001463383,0.000001122168,0.004646102,0.001201664,0.0004086061,0.9897267],"study_design_scores_gemma":[0.001805271,0.0005509526,0.01360482,0.004308294,0.03587629,0.0004013456,0.00002896434,0.0004921369,0.0121012,0.0003328436,0.9294674,0.001030483],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0005027906,0.9599899,0.03341343,0.002187425,0.00007871667,0.002692518,0.0002677833,0.00007160784,0.0007958417],"genre_scores_gemma":[0.008095826,0.9906054,0.0003190138,0.0001736886,0.00009391133,0.00009027468,0.0002653588,0.00002902837,0.000327531],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9886962,"threshold_uncertainty_score":0.6739602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03328969981124337,"score_gpt":0.3468787653608802,"score_spread":0.3135890655496368,"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."}}