{"id":"W1524709649","doi":"10.1002/mrm.25009","title":"Impact of frequency drift on gamma-aminobutyric acid-edited MR spectroscopy","year":2013,"lang":"en","type":"article","venue":"Magnetic Resonance in Medicine","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":115,"is_retracted":false,"has_abstract":true,"ca_institutions":"Douglas Mental Health University Institute; McGill University","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institute of Neurological Disorders and Stroke; National Institute of Mental Health","keywords":"Subtraction; Nuclear magnetic resonance; gamma-Aminobutyric acid; Physics; Computer science; Chemistry; Mathematics; Biochemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001687388,0.0002604718,0.0006097462,0.0002981319,0.00003215864,0.000004495687,0.0002002335,0.0001276852,0.002474037],"category_scores_gemma":[0.0002802767,0.000182052,0.00009753316,0.0007976204,0.0003231501,0.00006540758,0.00002819183,0.0003881112,0.0000690755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001619021,"about_ca_system_score_gemma":0.00007769466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000896281,"about_ca_topic_score_gemma":0.00001327793,"domain_scores_codex":[0.9981259,0.00003115738,0.000613821,0.0003952317,0.0004140637,0.0004198006],"domain_scores_gemma":[0.9986588,0.0001188537,0.0001574725,0.0007224825,0.0001607779,0.0001816203],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002380507,0.0008789512,0.1657892,0.0001219904,0.00001258116,0.00008931891,0.0004574782,0.00002867869,0.6475986,0.002817977,0.0366544,0.1453127],"study_design_scores_gemma":[0.002784622,0.007082327,0.9627451,0.0008916458,0.00004437851,0.0000483918,0.00008999105,0.0008599436,0.01466364,0.005739838,0.004812006,0.0002381059],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9681536,0.007009366,0.002546922,0.004224818,0.00008531955,0.001720369,0.00001360144,0.0001282466,0.01611778],"genre_scores_gemma":[0.970836,0.001659087,0.02529364,0.0004457943,0.0003056312,0.0003493085,0.00003380569,0.00004017246,0.00103655],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7969559,"threshold_uncertainty_score":0.9984378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01673173151404404,"score_gpt":0.3360570971071374,"score_spread":0.3193253655930934,"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."}}