{"id":"W2042835178","doi":"10.1118/1.4740219","title":"Sci—Sat AM: Brachy — 12: Resolving the olefinic lipid resonance from water in proton magnetic resonance spectra of vertebral bone marrow at 3 T","year":2012,"lang":"en","type":"article","venue":"Medical Physics","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Chemistry; Degree of unsaturation; Nuclear magnetic resonance; Resonance (particle physics); Magnetic resonance imaging; Spectral line; Bone marrow; Nuclear magnetic resonance spectroscopy; Vertebra; Proton magnetic resonance; Spectroscopy; Proton; Analytical Chemistry (journal); Chromatography; Stereochemistry; Anatomy; Physics; Radiology; Atomic physics; Pathology; Nuclear physics; Medicine","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":[0.000670928,0.000574844,0.0004298222,0.001195013,0.000704514,0.001209344,0.0006783298,0.00111482,0.1651012],"category_scores_gemma":[0.00107468,0.0005188912,0.000358771,0.0007430529,0.0005679129,0.0007303836,0.00107517,0.000873555,0.06055576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004061046,"about_ca_system_score_gemma":0.0007049341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001151663,"about_ca_topic_score_gemma":0.002503105,"domain_scores_codex":[0.9998777,0.00002831292,0.000009759289,0.00001977349,0.00004600943,0.00001841407],"domain_scores_gemma":[0.9996789,0.00005851184,0.0000255982,0.00006655372,0.00009459785,0.00007587861],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00232301,0.0003547368,0.002777,0.001516766,0.0001142834,0.001712212,0.0002238719,0.002570156,0.3307579,0.004325851,0.1802619,0.4730624],"study_design_scores_gemma":[0.0004031298,0.0009932535,0.03724558,0.0004374961,0.0001577863,0.007923651,0.00022311,0.01709227,0.2222894,0.004660885,0.7084357,0.0001378043],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.176726,0.01315434,0.1573876,0.007407964,0.00740177,0.0009563072,0.01041745,0.01920578,0.6073427],"genre_scores_gemma":[0.3956971,0.008531189,0.1032379,0.003830594,0.002524004,0.000950837,0.01039043,0.006662081,0.468176],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1651012,"threshold_uncertainty_score":0.5523186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01767799667278464,"score_gpt":0.2769198937897651,"score_spread":0.2592418971169805,"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."}}