{"id":"W1936021102","doi":"10.1002/mrm.26035","title":"A quantitative study of susceptibility and additional frequency shift of three common materials in MRI","year":2015,"lang":"en","type":"article","venue":"Magnetic Resonance in Medicine","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; U.S. Army Medical Research Acquisition Activity; Wayne State University; Heart and Stroke Foundation of Canada; U.S. Department of Defense","keywords":"Dephasing; Phase (matter); Sample (material); Nuclear magnetic resonance; Magnetic susceptibility; Computational physics; Work (physics); Quantitative susceptibility mapping; Biological system; Materials science; Physics; Chemistry; Magnetic resonance imaging; Condensed matter physics; Thermodynamics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001463612,0.000619134,0.0003648803,0.001161483,0.0002800299,0.0004457382,0.000373897,0.000646879,0.0008366411],"category_scores_gemma":[0.002624979,0.0003166201,0.0002621686,0.0005176676,0.0008018143,0.0008646198,0.0005045285,0.0003219585,0.0002922177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003119311,"about_ca_system_score_gemma":0.0002779576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002744029,"about_ca_topic_score_gemma":0.000441136,"domain_scores_codex":[0.9992507,0.0001799042,0.00003534394,0.0001916515,0.000296386,0.00004599632],"domain_scores_gemma":[0.9979967,0.0008284313,0.0004763214,0.0001975151,0.0003866318,0.0001142168],"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":[0.0001032965,0.00001913598,0.002483487,0.0001555426,0.00002514962,0.00007524309,0.00008029363,0.0004135922,0.9892161,0.0001048959,0.00002439075,0.007298909],"study_design_scores_gemma":[0.00001057373,0.0007404324,0.03936714,0.00002552561,0.0001366219,0.00164335,0.0001052151,0.007020935,0.9492475,0.000344154,0.001318138,0.00004056062],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8857557,0.003273246,0.109056,0.00006322058,0.00004132768,0.00005440162,0.0001215228,0.0002316406,0.001402933],"genre_scores_gemma":[0.9574047,0.0007914226,0.04092649,0.00003516667,0.00003144972,0.00005180541,0.0001231644,0.00006089756,0.0005747413],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001463612,"threshold_uncertainty_score":0.007740378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06217409937005187,"score_gpt":0.368791378189864,"score_spread":0.3066172788198121,"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."}}