{"id":"W2080859771","doi":"10.1177/1352458513516528","title":"Metabolomic profiling in multiple sclerosis: insights into biomarkers and pathogenesis","year":2014,"lang":"en","type":"article","venue":"Multiple Sclerosis Journal","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":100,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Metabolomics; Pathogenesis; Multiple sclerosis; Metabolite; Choline; Cerebrospinal fluid; Metabolome; Chemistry; Medicine; Internal medicine; Pathology; Biochemistry; Immunology; Chromatography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004268015,0.0003635847,0.0003355786,0.001330163,0.0001854426,0.0004477838,0.0001188878,0.0003223747,0.0003349839],"category_scores_gemma":[0.0004760113,0.0001033703,0.0001348248,0.0009423816,0.0003032242,0.0003097187,0.0002474687,0.0002623509,0.0001206658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000193997,"about_ca_system_score_gemma":0.0002764216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006818261,"about_ca_topic_score_gemma":0.001071702,"domain_scores_codex":[0.9998633,0.00005431901,0.000009918053,0.00003013705,0.00002881114,0.00001356638],"domain_scores_gemma":[0.9998502,0.00003951111,0.00004965118,0.00001090009,0.00002753439,0.00002222672],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001294185,0.0001388718,0.07514299,0.0004645966,0.0001915979,0.0004255102,0.0002283758,0.0009076198,0.8297842,0.0006190032,0.0002877927,0.09051523],"study_design_scores_gemma":[0.00004199258,0.001489527,0.7566137,0.0001206694,0.0002396091,0.002932762,0.0005724571,0.006543588,0.2210205,0.005491525,0.004868178,0.00006542639],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9729913,0.01681081,0.008167233,0.000454206,0.00001540988,0.00003688802,0.0006049762,0.00006618899,0.0008529433],"genre_scores_gemma":[0.9851143,0.005701371,0.008543689,0.00008192227,0.00002090611,0.00001985772,0.0002283584,0.000005909416,0.0002837309],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001330163,"threshold_uncertainty_score":0.002257168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09206724863939346,"score_gpt":0.2831462554462633,"score_spread":0.1910790068068698,"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."}}