{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000251326,0.0004825157,0.0002253787,0.0006435405,0.0001874636,0.0003195163,0.0002167905,0.0005138617,0.001358012],"category_scores_gemma":[0.0004725323,0.0003000202,0.0001758178,0.0002407225,0.0002689555,0.0003895175,0.0002369048,0.0002460723,0.0002294225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001277851,"about_ca_system_score_gemma":0.0001744665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001385467,"about_ca_topic_score_gemma":0.004940634,"domain_scores_codex":[0.9998837,0.0000220944,0.00000682559,0.0000517343,0.00001984386,0.00001592581],"domain_scores_gemma":[0.9998815,0.00004032356,0.00002758772,0.00001654797,0.00002067339,0.00001340793],"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":[0.0005903017,0.00008742212,0.009892125,0.0001355497,0.0001096855,0.0005617002,0.0001242544,0.0006990039,0.9569376,0.0001223096,0.0002662107,0.03047372],"study_design_scores_gemma":[0.0001649713,0.001778304,0.7587547,0.0000453974,0.0004007902,0.008037501,0.0002983132,0.01402824,0.2131126,0.001381992,0.001931579,0.00006549112],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.972062,0.001247974,0.0246035,0.00008654449,0.00001255492,0.00008354162,0.0003506751,0.0001901728,0.001363086],"genre_scores_gemma":[0.9785687,0.0005881255,0.01979557,0.00007348204,0.00002660602,0.00009317604,0.0001694238,0.00003350843,0.0006515179],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001385467,"threshold_uncertainty_score":0.004542947,"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."}}