{"id":"W2278994996","doi":"10.1002/nbm.3454","title":"Volumetric navigated MEGA‐SPECIAL for real‐time motion and shim corrected GABA editing","year":2015,"lang":"en","type":"article","venue":"NMR in Biomedicine","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Douglas Mental Health University Institute","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; Medical Research Council; National Institutes of Health","keywords":"Shim (computing); Subtraction; Imaging phantom; Computer science; Motion (physics); Rotation around a fixed axis; Artificial intelligence; Biomedical engineering; Physics; Nuclear magnetic resonance; Computer vision; Chemistry; Materials science; Nuclear medicine; Optics; Mathematics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003744411,0.0001365853,0.0003177479,0.0003552667,0.00005081774,0.000007282308,0.0000590276,0.0001312257,0.00004492075],"category_scores_gemma":[0.0004658285,0.0001175903,0.00002894637,0.001108803,0.0001223885,0.00006775909,0.00003214263,0.0001541334,0.000008929444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001541901,"about_ca_system_score_gemma":0.00004141337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009357002,"about_ca_topic_score_gemma":0.00001217538,"domain_scores_codex":[0.998899,0.00001520775,0.0003373754,0.0002841873,0.0002191729,0.000245099],"domain_scores_gemma":[0.9991636,0.00009387454,0.0001113656,0.0001884412,0.0002307763,0.0002119565],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001064603,0.0009696024,0.02022496,0.0002830519,0.00004904933,0.0000852307,0.0016086,0.00002161211,0.1271984,0.001561757,0.2359367,0.6109964],"study_design_scores_gemma":[0.04778633,0.009065354,0.1156013,0.002567856,0.0007955651,0.0008934381,0.003795597,0.1176173,0.02515828,0.01566297,0.6592821,0.001773908],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7717052,0.0009752292,0.1855758,0.01455273,0.001257459,0.006355146,0.0002367007,0.00136851,0.01797323],"genre_scores_gemma":[0.8861117,0.0003453247,0.09792805,0.00075175,0.009339549,0.0005223184,0.001798525,0.0001060906,0.003096697],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6092225,"threshold_uncertainty_score":0.4795192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0315976615121947,"score_gpt":0.3412040829439502,"score_spread":0.3096064214317554,"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."}}