{"id":"W3041187581","doi":"10.1038/s42003-020-1093-z","title":"Tract-specific analysis improves sensitivity of spinal cord diffusion MRI to cross-sectional and longitudinal changes in amyotrophic lateral sclerosis","year":2020,"lang":"en","type":"article","venue":"Communications Biology","topic":"Amyotrophic Lateral Sclerosis Research","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institute of Neurological Disorders and Stroke; Institute for Translational Neuroscience; University of Minnesota Foundation; Polytechnique Montréal; University of Minnesota; National Institutes of Health; National Science Foundation","keywords":"Amyotrophic lateral sclerosis; Corticospinal tract; Spinal cord; Diffusion MRI; Pyramidal tracts; Neuroscience; White matter; Medicine; Fiber tract; Anatomy; Disease; Magnetic resonance imaging; Pathology; Psychology; Radiology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004258381,0.0001498534,0.0004751013,0.0003757789,0.0001441038,0.00002717681,0.0002788005,0.0001431964,0.0000782069],"category_scores_gemma":[0.0001511586,0.0001306868,0.0001020227,0.001072768,0.0005596194,0.00006037224,0.0006368209,0.0003975192,0.00001326691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008440338,"about_ca_system_score_gemma":0.00003693533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004583441,"about_ca_topic_score_gemma":0.0005251621,"domain_scores_codex":[0.9984363,0.0003498689,0.0003825426,0.0004071462,0.0001499742,0.0002741661],"domain_scores_gemma":[0.9985206,0.0002014829,0.0001081528,0.0007602468,0.0002026965,0.0002068711],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005909502,0.0001390456,0.6432973,0.00001434313,0.00007118307,0.000002494564,0.00008864798,0.000007315477,0.3515753,0.0001391993,0.00001425501,0.004060056],"study_design_scores_gemma":[0.0006179152,0.001200627,0.9934516,0.0000293628,0.00004598626,0.00001221079,0.00001795066,0.003327204,0.0005750691,0.00003063168,0.0005813458,0.0001100974],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9772121,0.0005399552,0.0004528245,0.02131254,0.00002318103,0.0003378035,0.00005087006,0.00002749732,0.00004326903],"genre_scores_gemma":[0.9949004,0.002297983,0.001981335,0.0005730224,0.00005142011,0.00004171346,0.0001260717,0.00001212681,0.00001589996],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3510002,"threshold_uncertainty_score":0.5329254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1507679853099624,"score_gpt":0.3839353277644899,"score_spread":0.2331673424545275,"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."}}