{"id":"W4313306468","doi":"10.1002/jrs.6480","title":"Non‐negative matrix factorisation of Raman spectra finds common patterns relating to neuromuscular disease across differing equipment configurations, preclinical models and human tissue","year":2022,"lang":"en","type":"article","venue":"Journal of Raman Spectroscopy","topic":"Spectroscopy Techniques in Biomedical and Chemical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"NIHR Sheffield Biomedical Research Centre; NIHR Sheffield Clinical Research Facility; Wellcome Trust Centre for Mitochondrial Research; Pathological Society of Great Britain and Ireland; NIHR Newcastle Biomedical Research Centre; Medical Research Council; University of Sheffield; Department of Health and Social Care; Alzheimer Society; Engineering and Physical Sciences Research Council; Academy of Medical Sciences; Lily Foundation; National Institute for Health and Care Research; NIHR Oxford Biomedical Research Centre; Wellcome Trust","keywords":"Non-negative matrix factorization; Raman spectroscopy; Linear discriminant analysis; Neuromuscular disease; Principal component analysis; Pattern recognition (psychology); Artificial intelligence; Computer science; Matrix decomposition; Biological system; Disease; Pathology; Biology; Physics; Medicine; Optics; Eigenvalues and eigenvectors","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001811557,0.000876405,0.0004106279,0.001403732,0.0002743772,0.0005985829,0.0002523284,0.0006570717,0.001186003],"category_scores_gemma":[0.003143006,0.0002414774,0.0006096776,0.0006699035,0.0007192759,0.0005119679,0.0004481866,0.000632759,0.0003679065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002654881,"about_ca_system_score_gemma":0.0002646183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001294226,"about_ca_topic_score_gemma":0.00214343,"domain_scores_codex":[0.9992723,0.0001856149,0.00004429678,0.0002120391,0.0001999985,0.00008570179],"domain_scores_gemma":[0.9983566,0.000696426,0.0003565177,0.0001862042,0.0003406847,0.00006345577],"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":[0.000538819,0.0001564971,0.01512878,0.0001880955,0.0001079123,0.0001211737,0.000151173,0.004691283,0.9198911,0.0002837685,0.0003570784,0.05838439],"study_design_scores_gemma":[0.00004309181,0.001272341,0.2166059,0.0000853414,0.0003055278,0.001918102,0.0005935676,0.1643308,0.6088232,0.002584851,0.003275569,0.0001616929],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8370249,0.0008799917,0.1593345,0.0002138172,0.00005833575,0.00009884199,0.0005271566,0.0006848874,0.001177453],"genre_scores_gemma":[0.946001,0.0003343721,0.05239131,0.00006496395,0.00001722552,0.00005902581,0.0004628619,0.0001080583,0.0005611795],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001811557,"threshold_uncertainty_score":0.009580553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02484295796641874,"score_gpt":0.3960048879011813,"score_spread":0.3711619299347625,"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."}}