{"id":"W2051467038","doi":"10.1007/s100720070031","title":"Imaging axonal damage in multiple sclerosis by means of MR spectroscopy","year":2000,"lang":"en","type":"review","venue":"Neurological Sciences","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"Montreal Neurological Institute and Hospital","funders":"","keywords":"Multiple sclerosis; White matter; Neurology; Pathology; Magnetic resonance imaging; Pathogenesis; Neuroscience; Neuroradiology; In vivo magnetic resonance spectroscopy; Medicine; Inflammation; Neurosurgery; Biology; Immunology; Radiology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009911987,0.0004202713,0.001921337,0.0003496047,0.0001926891,0.00005178247,0.0007608582,0.0001768771,0.0007345626],"category_scores_gemma":[0.00128362,0.0002536771,0.0004087311,0.001343783,0.002045905,0.0001088627,0.0003056149,0.0008679907,0.0000461401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005782649,"about_ca_system_score_gemma":0.0001979882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008665234,"about_ca_topic_score_gemma":0.00005158267,"domain_scores_codex":[0.995758,0.0004570438,0.0007973884,0.001009581,0.001140747,0.0008372391],"domain_scores_gemma":[0.997925,0.00125457,0.0002309511,0.0003290184,0.00004457439,0.0002158849],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008213316,0.0005845483,0.03724037,0.002053778,0.00003410041,0.00007241756,0.00003509036,0.000006267137,0.0006698089,0.00001523666,0.003873949,0.9553323],"study_design_scores_gemma":[0.001057756,0.001528792,0.02933021,0.005025976,0.000170556,0.00002924267,0.00002251881,0.0008919336,0.00009037271,0.00003453215,0.9613311,0.000487036],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.008430283,0.9847642,0.000004624781,0.0006143852,0.00008944802,0.001093613,0.00009981314,0.00005837404,0.004845278],"genre_scores_gemma":[0.005168852,0.9936114,0.0006928919,0.0002489163,0.00008797313,0.00009768657,0.00001938954,0.000017798,0.00005509171],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9574571,"threshold_uncertainty_score":0.9999915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1962724362745692,"score_gpt":0.3840862118649029,"score_spread":0.1878137755903338,"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."}}