{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006859991,0.0004180358,0.0003082364,0.0009645062,0.0002152548,0.0003536243,0.0002109492,0.0003481876,0.001212104],"category_scores_gemma":[0.003762103,0.0001111538,0.0001783968,0.0003626653,0.0003031092,0.0003775407,0.0002896462,0.0001775837,0.0002678544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001944244,"about_ca_system_score_gemma":0.0001343812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005841085,"about_ca_topic_score_gemma":0.0009007775,"domain_scores_codex":[0.9997271,0.00006613351,0.00005814811,0.00005492112,0.00006399656,0.00002968072],"domain_scores_gemma":[0.998533,0.0004986284,0.0005554872,0.0000715101,0.0001846645,0.0001566776],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001795513,0.0001435663,0.9778339,0.00007567536,0.0001781901,0.0001864815,0.0001586134,0.0002264571,0.006639504,0.00003870239,0.0001469454,0.0125764],"study_design_scores_gemma":[0.00005277929,0.0006523083,0.9960751,0.00001408684,0.00004605107,0.001099669,0.0001182159,0.0007213169,0.0009266416,0.0001439226,0.0001426964,0.000007155254],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993333,0.0002753987,0.0001212655,0.00001457287,0.000002263635,0.000005989735,0.00006126706,0.000005402699,0.0001804919],"genre_scores_gemma":[0.9997563,0.00002465214,0.0001128825,0.000003972564,0.000003324159,0.000003571605,0.00006421717,7.146671e-7,0.00003035578],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001212104,"threshold_uncertainty_score":0.004054844,"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."}}