{"id":"W2054041825","doi":"10.1002/mrm.20696","title":"In vivo sodium magnetic resonance imaging of the human brain using soft inversion recovery fluid attenuation","year":2005,"lang":"en","type":"article","venue":"Magnetic Resonance in Medicine","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":105,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Nuclear magnetic resonance; Attenuation; Imaging phantom; Magnetic resonance imaging; Cerebrospinal fluid; Fluid-attenuated inversion recovery; Voxel; Sodium; Pulse sequence; Inversion (geology); Materials science; Spin–lattice relaxation; Weighting; Biomedical engineering; Chemistry; Physics; Optics; Geology; Medicine; Acoustics; Radiology; Pathology","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":[0.000504031,0.0003591394,0.0003363384,0.0002209335,0.000272924,0.0002809887,0.0002397957,0.00042614,0.00122987],"category_scores_gemma":[0.000754776,0.0002778558,0.0001252625,0.0001958343,0.0006715085,0.0003209613,0.0003865995,0.0002060225,0.0002490657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001306508,"about_ca_system_score_gemma":0.000354019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001213265,"about_ca_topic_score_gemma":0.002047131,"domain_scores_codex":[0.9998814,0.00004650669,0.000007311908,0.00002763325,0.00001939072,0.00001776185],"domain_scores_gemma":[0.9998869,0.00002921077,0.00001436359,0.00001816114,0.00003231571,0.00001900888],"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":[0.002825108,0.0001730558,0.003188605,0.0001417784,0.00007641082,0.0006426991,0.0003992254,0.0004424167,0.9750361,0.0002109215,0.0002185432,0.01664523],"study_design_scores_gemma":[0.001318037,0.02244352,0.08216818,0.00006827227,0.0007417478,0.01758175,0.0008897032,0.01367935,0.8477101,0.00238169,0.0108694,0.000148276],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9780747,0.0006438004,0.01947606,0.0001605155,0.00001240508,0.00008219123,0.00006888941,0.00009191455,0.001389571],"genre_scores_gemma":[0.9837422,0.0005209989,0.01416094,0.00005196043,0.00001525328,0.00005265832,0.0001054368,0.00002641028,0.001324066],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00122987,"threshold_uncertainty_score":0.004114389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01956826500870744,"score_gpt":0.3097562006189774,"score_spread":0.29018793561027,"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."}}