{"id":"W4414051607","doi":"10.1162/imag.a.159","title":"Mapping hand function with simultaneous brain–spinal cord functional MRI","year":2025,"lang":"en","type":"article","venue":"Imaging Neuroscience","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Neurological Disorders and Stroke; Natural Sciences and Engineering Research Council of Canada; Boettcher Foundation; National Science Foundation; Stanford Research Computing Center, Stanford University; National Institute of Child Health and Human Development; Istituto Superiore di Sanità; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Spinal cord; Finger tapping; Spinal cord injury; Sensory system; Central nervous system; Motor control; Motor system; Functional magnetic resonance imaging; Cord","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006884662,0.0001043541,0.0001018498,0.0001329037,0.0003529185,0.00005900246,0.00008401911,0.00001622455,0.000009591795],"category_scores_gemma":[0.0001236637,0.00008749131,0.00002777355,0.0006692526,0.0003157112,0.0001287367,0.00004206579,0.0001626514,0.000005658007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000438027,"about_ca_system_score_gemma":0.0001081001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006707024,"about_ca_topic_score_gemma":0.000001106516,"domain_scores_codex":[0.9990836,0.000007901379,0.0001246488,0.0003858144,0.0001932072,0.0002048049],"domain_scores_gemma":[0.9994724,0.0000641688,0.00004903583,0.000241041,0.0001082021,0.0000650983],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001081358,0.0002254837,0.009760774,0.00007090521,0.000003943842,0.0001378557,0.00003285486,0.003717171,0.8025728,0.006063825,0.008553809,0.1677792],"study_design_scores_gemma":[0.001702847,0.001299711,0.1121247,0.0005198758,0.00006662875,0.000951959,0.0001756991,0.1135334,0.01839305,0.00329618,0.7474899,0.0004460805],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01550382,0.0000585603,0.9715922,0.009843488,0.0001814671,0.0002757029,0.000002241969,0.0002210257,0.002321437],"genre_scores_gemma":[0.9783728,0.000009257882,0.008443746,0.009382581,0.00005024995,0.00004290067,0.000003674758,0.000009761602,0.003685022],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9631485,"threshold_uncertainty_score":0.3567792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01961531102993946,"score_gpt":0.3168401812187887,"score_spread":0.2972248701888492,"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."}}