{"id":"W2780827616","doi":"10.1016/j.mri.2017.12.020","title":"Simulation-based quantification of native T1 and T2 of the myocardium using a modified MOLLI scheme and the importance of Magnetization Transfer","year":2017,"lang":"en","type":"article","venue":"Magnetic Resonance Imaging","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Vetenskapsrådet; Hjärt-Lungfonden; Lunds Universitet","keywords":"Magnetization transfer; Imaging phantom; Magnetic resonance imaging; Pulse (music); Computer science; Pulse sequence; Biomedical engineering; Materials science; Medicine; Nuclear medicine; Radiology","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":[0.0005273552,0.0006062404,0.0005010159,0.000431359,0.0004844663,0.0005965306,0.001073836,0.001300982,0.001256967],"category_scores_gemma":[0.001453216,0.0003019192,0.0004351186,0.0004027472,0.0004549705,0.0006404408,0.0004808824,0.0005218153,0.0001834971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008074282,"about_ca_system_score_gemma":0.00111705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005525106,"about_ca_topic_score_gemma":0.003826217,"domain_scores_codex":[0.9998932,0.00003677338,0.000007266641,0.00001547108,0.00003370089,0.00001354553],"domain_scores_gemma":[0.9995738,0.0002267108,0.00005387931,0.00004939549,0.00006603899,0.00003019356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002340481,0.00007231942,0.0007443613,0.0001342096,0.0000397362,0.0001199086,0.0001546773,0.9388618,0.04295835,0.009143036,0.0003069857,0.007230602],"study_design_scores_gemma":[0.0000117626,0.000020267,0.00008383224,0.000004338763,0.000004669321,0.00001300343,0.000003971749,0.9951273,0.003999838,0.0004827339,0.0002412434,0.000006929568],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4218624,0.0008298403,0.5660124,0.0005911549,0.000142941,0.000213114,0.0004320929,0.001077112,0.008838972],"genre_scores_gemma":[0.8438131,0.0002706414,0.1533839,0.00008757096,0.00001731847,0.0001797103,0.000198738,0.0002208208,0.001828167],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005525106,"threshold_uncertainty_score":0.01098591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02891928519942839,"score_gpt":0.3233687370425541,"score_spread":0.2944494518431257,"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."}}