{"id":"W4283456266","doi":"10.1002/ana.26448","title":"“Ependymal‐in” Gradient of Thalamic Damage in Progressive Multiple Sclerosis","year":2022,"lang":"en","type":"article","venue":"Annals of Neurology","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"Tellabs (Canada)","funders":"Imperial College London; Multiple Sclerosis Society; Fondazione Italiana Sclerosi Multipla; Ministero della Salute; American Academy of Neurology","keywords":"Ependyma; Pathology; Cerebrospinal fluid; Subependymal zone; Multiple sclerosis; Neuroinflammation; Microglia; Grey matter; Medicine; Anatomy; Biology; White matter; Central nervous system; Inflammation; Neuroscience; Magnetic resonance imaging; Immunology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0005379036,0.0001321047,0.0005564888,0.0005329397,0.00004461608,0.000001716809,0.0002270451,0.00005081434,0.0002466975],"category_scores_gemma":[0.0007433722,0.000126472,0.0001119506,0.0005107975,0.0002692217,0.00004314453,0.0004670956,0.0004827266,0.000003434271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001492009,"about_ca_system_score_gemma":0.00005083232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004276888,"about_ca_topic_score_gemma":0.0003799786,"domain_scores_codex":[0.9979321,0.0003758589,0.0004889368,0.0003414117,0.0004062635,0.0004554332],"domain_scores_gemma":[0.9988772,0.000399477,0.0001878395,0.0003488399,0.0001197949,0.00006683274],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001754481,0.001393631,0.9326777,0.0001493487,0.00005869101,0.0003479516,0.0009801121,0.0005278575,0.05688442,0.00007988895,0.001418257,0.003727587],"study_design_scores_gemma":[0.002167207,0.002159681,0.9862779,0.00003969022,0.000006351007,0.00001757387,0.0001695565,0.0011375,0.007291617,0.0000721939,0.0005894952,0.00007121392],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915289,0.0006313298,4.381457e-7,0.006533217,0.00007865536,0.0006486931,0.00004810649,0.00001096808,0.0005196564],"genre_scores_gemma":[0.9983694,0.0005291709,0.00003564829,0.0007796834,0.00001887531,0.0002004663,0.00001283011,0.00001708912,0.00003681113],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05360015,"threshold_uncertainty_score":0.5157378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1784497618750682,"score_gpt":0.3614054758103167,"score_spread":0.1829557139352485,"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."}}