{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002577677,0.0002240647,0.00009728818,0.0004009989,0.0001650697,0.0001863924,0.0001567226,0.0002356024,0.0003103178],"category_scores_gemma":[0.0002108412,0.0001523259,0.00008289239,0.0001815119,0.0003267914,0.000189697,0.000275844,0.0002253106,0.0001170918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008858748,"about_ca_system_score_gemma":0.0001309676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005516761,"about_ca_topic_score_gemma":0.0007152089,"domain_scores_codex":[0.9999222,0.00001595283,0.000005403635,0.00001291142,0.00002892028,0.00001466379],"domain_scores_gemma":[0.9998467,0.00003976568,0.00004577888,0.00001724892,0.00003311927,0.00001739446],"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":[0.00006032538,0.00001550432,0.001694975,0.0000217826,0.000003023694,0.0001050498,0.00004892469,0.00004769523,0.9957774,0.00007610884,0.00001434745,0.002134951],"study_design_scores_gemma":[0.00001901748,0.0008366326,0.04796907,0.00001843603,0.00003236099,0.002258785,0.0002683999,0.005288438,0.9420107,0.0003061857,0.000974222,0.00001789553],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955344,0.0005463145,0.003255491,0.00002517638,0.000004480534,0.00001020985,0.00002598686,0.00002068678,0.0005771323],"genre_scores_gemma":[0.9916883,0.0006354738,0.00690071,0.00003229457,0.00001217931,0.00001879149,0.00004587835,0.000007061028,0.0006593099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005516761,"threshold_uncertainty_score":0.001363158,"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."}}