{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002326158,0.0006727732,0.001285271,0.001225704,0.0009223359,0.0002843152,0.0004186601,0.0003183848,0.00005703724],"category_scores_gemma":[0.005049041,0.0005548025,0.0003737978,0.0009537576,0.0005511288,0.0005855758,0.0004306851,0.001078566,0.00005486558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000412104,"about_ca_system_score_gemma":0.0001843269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003469815,"about_ca_topic_score_gemma":0.0005949175,"domain_scores_codex":[0.9945147,0.0007492973,0.001341871,0.0009944079,0.001171091,0.001228622],"domain_scores_gemma":[0.9964669,0.00103733,0.0004042701,0.0006708213,0.0004745834,0.0009460553],"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":[0.0007000217,0.000313404,0.3709485,0.0001375377,0.0002713679,0.00001633563,0.001035591,0.00006328966,0.5519415,0.00001269916,0.0002330602,0.0743267],"study_design_scores_gemma":[0.01246291,0.0003571413,0.9130316,0.00114919,0.0001406594,0.00006752129,0.001152824,0.02184928,0.04778854,0.00008453061,0.001337677,0.0005780649],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899634,0.006226239,0.0009634282,0.001000466,0.000430993,0.001075892,0.00001403091,0.0001285185,0.0001970162],"genre_scores_gemma":[0.9674532,0.01022783,0.0210812,0.0003622535,0.0005301578,0.0001746563,0.00001954578,0.0001184628,0.00003266184],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5420832,"threshold_uncertainty_score":0.9996904,"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."}}