{"id":"W2781844412","doi":"10.1039/c7sc03992a","title":"Lipid biochemical changes detected in normal appearing white matter of chronic multiple sclerosis by spectral coherent Raman imaging","year":2018,"lang":"en","type":"article","venue":"Chemical Science","topic":"Spectroscopy Techniques in Biomedical and Chemical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hotchkiss Brain Institute; University of Calgary","funders":"Canadian Institutes of Health Research; Canada Research Chairs; Alberta Innovates - Health Solutions; Multiple Sclerosis Society of Canada; Alberta Innovates; Multiple Sclerosis Society","keywords":"White matter; Multiple sclerosis; Myelin; Raman spectroscopy; Pathology; Nuclear magnetic resonance; Microscopy; White (mutation); Chemistry; Medicine; Biology; Neuroscience; Physics; Optics; Magnetic resonance imaging; Biochemistry; Immunology; Radiology; Central nervous system","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003038622,0.000176117,0.0001786417,0.00008223162,0.00006542674,0.00003415927,0.0008175823,0.0001469482,0.000225719],"category_scores_gemma":[0.000238228,0.0001556161,0.00005211025,0.0006298465,0.002539368,0.00001088347,0.0006482085,0.0002408145,0.00001374155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001518298,"about_ca_system_score_gemma":0.0001006925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004949362,"about_ca_topic_score_gemma":0.00001305734,"domain_scores_codex":[0.9978799,0.00001702937,0.0002572577,0.0006289908,0.000459344,0.0007574409],"domain_scores_gemma":[0.999202,0.00001905355,0.00006508853,0.000357702,0.0001091449,0.0002470601],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005767335,0.0001023834,0.02884327,0.00002351549,0.000003152418,5.405777e-7,0.00001509991,5.128441e-8,0.9659456,0.000002222666,0.003789222,0.001217266],"study_design_scores_gemma":[0.0003780491,0.0001545328,0.003517962,0.00007599991,0.000002817894,0.00000537706,0.00001014764,0.0004801513,0.9940703,0.00002250138,0.001088716,0.0001934584],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997394,0.0002235241,0.0006384863,0.0003669898,0.00006139817,0.0001549173,0.00001367141,0.00002510811,0.001121865],"genre_scores_gemma":[0.998109,0.00004881767,0.001213844,0.0001550795,0.0003235036,0.00003211448,0.0000289407,0.00001541757,0.00007326917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02812468,"threshold_uncertainty_score":0.9356406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01141937885830356,"score_gpt":0.2740352865677513,"score_spread":0.2626159077094477,"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."}}