{"id":"W4295329051","doi":"10.1002/mrm.29418","title":"<scp>NIfTI‐MRS</scp> : A standard data format for magnetic resonance spectroscopy","year":2022,"lang":"en","type":"article","venue":"Magnetic Resonance in Medicine","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hotchkiss Brain Institute; Alberta Children's Hospital; University of Calgary","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institute on Aging; National Institutes of Health; European Commission; Wellcome Trust","keywords":"Nuclear magnetic resonance; Nuclear magnetic resonance spectroscopy; Spectroscopy; Magnetic resonance imaging; Chemistry; Physics; Medicine; Radiology","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":[0.007629353,0.002375768,0.001007113,0.004221349,0.002167552,0.004398864,0.005097196,0.003633407,0.1600792],"category_scores_gemma":[0.02815307,0.001265964,0.0009956354,0.00546059,0.00184472,0.005966773,0.003908783,0.003473408,0.1048383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001970441,"about_ca_system_score_gemma":0.005132378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006954648,"about_ca_topic_score_gemma":0.00734624,"domain_scores_codex":[0.9962409,0.000658891,0.0005804399,0.0004198248,0.001828644,0.0002713614],"domain_scores_gemma":[0.9773889,0.006245741,0.001995443,0.005115429,0.00843247,0.0008220605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004741337,0.00005479548,0.0006644099,0.0008897327,0.00002898281,0.0005115134,0.0002246503,0.0006146906,0.009360652,0.007206955,0.9255478,0.05442166],"study_design_scores_gemma":[0.0002015483,0.0001340879,0.003098636,0.0004704045,0.00003557389,0.001379562,0.0001493828,0.00427656,0.02979294,0.015094,0.945184,0.0001832748],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007016902,0.0006732703,0.3559013,0.007491099,0.002537914,0.001842667,0.316826,0.2259074,0.08180335],"genre_scores_gemma":[0.02799422,0.001041575,0.3142959,0.005508872,0.001300515,0.004349579,0.5295768,0.07127423,0.04465827],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1600792,"threshold_uncertainty_score":0.5355183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03285148019458194,"score_gpt":0.3434275241694336,"score_spread":0.3105760439748516,"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."}}