{"id":"W2149392970","doi":"10.1002/mrm.24878","title":"Saturation recovery single‐shot acquisition (SASHA) for myocardial <i>T</i><sub>1</sub> mapping","year":2013,"lang":"en","type":"article","venue":"Magnetic Resonance in Medicine","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":390,"is_retracted":false,"has_abstract":true,"ca_institutions":"Siemens (Canada); Libin Cardiovascular Institute of Alberta; Montreal Heart Institute; University of Alberta; Université de Montréal; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Fondation pour la Recherche Médicale; Canadian Institutes of Health Research; Alberta Innovates; Alberta Innovates - Health Solutions; Children's Health Research Institute","keywords":"Imaging phantom; Heart rate; Flip angle; Medicine; Nuclear medicine; Heart failure; Steady-state free precession imaging; Reproducibility; Single shot; Biomedical engineering; Saturation (graph theory); Cardiology; Nuclear magnetic resonance; Magnetic resonance imaging; Internal medicine; Blood pressure; Mathematics; Radiology; Physics; Statistics; Optics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001236508,0.0004127521,0.0002373438,0.0003529715,0.0002063312,0.0003725476,0.0003918014,0.0005692515,0.001297338],"category_scores_gemma":[0.002348616,0.0003043314,0.0001866562,0.0001532786,0.0003704258,0.0004502205,0.0002626679,0.0004782405,0.000351313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002095198,"about_ca_system_score_gemma":0.0005055298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007209352,"about_ca_topic_score_gemma":0.001321767,"domain_scores_codex":[0.9998443,0.00007631408,0.000006532461,0.00002384683,0.00004068578,0.000008265732],"domain_scores_gemma":[0.999153,0.0004642867,0.0001261805,0.0000688978,0.0001318047,0.00005585658],"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":[0.001942936,0.0002358877,0.01352681,0.000704154,0.0001709577,0.000657977,0.0002089361,0.01086204,0.7781743,0.001894039,0.001927542,0.1896944],"study_design_scores_gemma":[0.0005049624,0.005627665,0.05405962,0.0001754671,0.0003186116,0.008875413,0.0001578229,0.3139122,0.5981274,0.005434125,0.01261047,0.0001963729],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4827164,0.003637252,0.5085558,0.0004348391,0.000107021,0.0002444303,0.000223499,0.001234197,0.002846532],"genre_scores_gemma":[0.7346402,0.001322524,0.2620738,0.0002175393,0.00007799036,0.0002604341,0.0002077083,0.0001334269,0.001066248],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001297338,"threshold_uncertainty_score":0.006539404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02684656668298001,"score_gpt":0.282704881071954,"score_spread":0.255858314388974,"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."}}