{"id":"W1973109251","doi":"10.1212/wnl.0b013e31828154c5","title":"Spinal cord quantitative MRI discriminates between disability levels in multiple sclerosis","year":2013,"lang":"en","type":"article","venue":"Neurology","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Research Resources; National Institute of Neurological Disorders and Stroke; National Institutes of Health; National Institute of Biomedical Imaging and Bioengineering; Multiple Sclerosis Society; Multiple Sclerosis Society of Canada; Teva Pharmaceutical Industries; National Multiple Sclerosis Society","keywords":"Multiple sclerosis; Medicine; Spinal cord; Physical medicine and rehabilitation; Magnetic resonance imaging; Neuroscience; Radiology; Psychology; Psychiatry","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":[0.0003117817,0.0002308199,0.0006108603,0.0001300061,0.0001092608,0.00002099827,0.0001994711,0.0001416559,0.0003117091],"category_scores_gemma":[0.001932789,0.000187486,0.0001051892,0.0002809172,0.0009686438,0.0001605753,0.0002714384,0.0006005281,0.0002885756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000627585,"about_ca_system_score_gemma":0.00003498595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003160667,"about_ca_topic_score_gemma":0.0009339947,"domain_scores_codex":[0.9976471,0.0003405944,0.0004326842,0.0006018891,0.0003141385,0.0006635792],"domain_scores_gemma":[0.9979984,0.001144464,0.00007755934,0.000428042,0.000151449,0.0002000507],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001141395,0.0002671371,0.961548,0.00008098697,0.0000431945,0.00001050335,0.0002032472,0.000003290735,0.01263822,0.00005655465,0.0004253364,0.02358209],"study_design_scores_gemma":[0.001801793,0.00483083,0.9908704,0.00003891502,0.00002193951,0.000003592171,0.0001050385,0.0005642169,0.001076833,0.0002562478,0.0002929877,0.000137248],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.982733,0.0001019591,0.00008061039,0.0154548,0.0001076556,0.001068717,0.00003840382,0.0000640787,0.0003507974],"genre_scores_gemma":[0.9979846,0.00008883693,0.0009422873,0.0005534612,0.0001015375,0.0002560589,0.00001463591,0.00002698635,0.00003160434],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02932232,"threshold_uncertainty_score":0.7645457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2529349501679053,"score_gpt":0.3855641310515774,"score_spread":0.1326291808836721,"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."}}