{"id":"W2998612404","doi":"10.1002/nbm.4241","title":"Mapping of fatty acid composition with free‐breathing MR spectroscopic imaging and compressed sensing","year":2020,"lang":"en","type":"article","venue":"NMR in Biomedicine","topic":"Liver Disease Diagnosis and Treatment","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Nova Scotia Cancer Centre; Dalhousie University","funders":"Canadian Institutes of Health Research; Killam Trusts; GE Healthcare; Atlantic Canada Opportunities Agency; Natural Sciences and Engineering Research Council of Canada; Fondation Brain Canada","keywords":"Magnetic resonance imaging; In vivo magnetic resonance spectroscopy; Nonalcoholic fatty liver disease; Biomarker; Fatty liver; Choline; Medicine; Fatty acid; Magnetic resonance spectroscopic imaging; Chemistry; Internal medicine; Disease; Biochemistry; Radiology","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":[0.0006016257,0.0005211105,0.0003413958,0.0005443695,0.0001294625,0.0003660331,0.000493362,0.0006892338,0.0007754867],"category_scores_gemma":[0.001153668,0.0003086275,0.0002787683,0.0003754202,0.0005093706,0.0008346026,0.0004996012,0.0007066594,0.0001836728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001834505,"about_ca_system_score_gemma":0.0002600478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006133977,"about_ca_topic_score_gemma":0.0009940412,"domain_scores_codex":[0.9997883,0.0000565751,0.00001064709,0.00003731719,0.00008840408,0.00001869339],"domain_scores_gemma":[0.9995613,0.0001359682,0.0001371291,0.00006150804,0.00007201354,0.00003216356],"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":[0.0002723235,0.00009319346,0.0008598732,0.0001811968,0.00005404281,0.0001688723,0.00008066452,0.005156571,0.936691,0.001667983,0.0004055183,0.05436866],"study_design_scores_gemma":[0.00008770816,0.001743882,0.007980872,0.00008942083,0.0001055954,0.002036558,0.0001047435,0.2471257,0.7306715,0.003057266,0.006865303,0.0001314161],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3778208,0.002907845,0.6144859,0.0007689498,0.0001212352,0.0002256437,0.0002306792,0.0008825415,0.002556386],"genre_scores_gemma":[0.4498437,0.002471467,0.5448006,0.0003165436,0.0001476516,0.0001983347,0.0003333783,0.0001410127,0.001747293],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0007754867,"threshold_uncertainty_score":0.003181696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01506861398493842,"score_gpt":0.2548678242353015,"score_spread":0.2397992102503631,"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."}}