{"id":"W3177104451","doi":"10.1016/j.tins.2021.06.002","title":"An X-ray for myelin","year":2021,"lang":"en","type":"letter","venue":"Trends in Neurosciences","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hotchkiss Brain Institute; University of Calgary; Women and Children’s Health Research Institute; University of Alberta","funders":"","keywords":"Remyelination; Myelin; Neuroscience; Central nervous system; Multiple sclerosis; White matter; Disease treatment; Myelin sheath; Computer science; Medicine; Magnetic resonance imaging; Psychology; Immunology; Radiology; Intensive care medicine","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":[0.0001037383,0.0001900512,0.0003062538,0.000358914,0.00008824147,0.00004750858,0.0003306432,0.0001642559,0.00003979039],"category_scores_gemma":[0.0000716254,0.000164845,0.0001063995,0.0007161178,0.000222791,0.0000877898,0.00003594975,0.0007188713,0.000001395434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002522347,"about_ca_system_score_gemma":0.00006923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007110315,"about_ca_topic_score_gemma":0.000003371923,"domain_scores_codex":[0.9983742,0.00003797764,0.0002445487,0.0007621867,0.0002527835,0.000328338],"domain_scores_gemma":[0.9991114,0.0001070233,0.00009387056,0.0005912936,0.00004194307,0.00005450925],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001095086,0.000191775,0.000797987,0.00008416676,0.000002040724,0.0004675597,0.00002663376,0.00002905813,0.01082257,0.0001847256,0.9504879,0.03689461],"study_design_scores_gemma":[0.0001919439,0.0002921132,0.001962405,0.00005539577,0.00002214711,0.00005032326,0.000005916947,0.001164929,0.0007617754,0.0003956288,0.9949193,0.0001781159],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.002558429,0.00009577378,0.005040423,0.9885437,0.0008374112,0.0004741371,0.0001276058,0.0003659283,0.001956518],"genre_scores_gemma":[0.01419879,0.0001322052,0.04252224,0.9274089,0.001982532,0.000492439,0.0005125788,0.00008053071,0.0126698],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.0611349,"threshold_uncertainty_score":0.6722184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1880872812871796,"score_gpt":0.4385080871944451,"score_spread":0.2504208059072655,"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."}}