{"id":"W2739652403","doi":"10.1161/str.47.suppl_1.wp257","title":"Abstract WP257: Metabolic Profiling in the Plasma of Rats in Response to Aging and Ischemic Stroke by Nuclear Magnetic Resonance Spectroscopy","year":2016,"lang":"en","type":"article","venue":"Stroke","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dempsey (Canada); Hatch (Canada)","funders":"","keywords":"Medicine; Metabolite; Creatine; Stroke (engine); Internal medicine; Ischemia; Magnetic resonance imaging; Metabolomics; Endocrinology; Bioinformatics; Biology; Radiology","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":[0.0001392097,0.0005076777,0.0003869221,0.0004176642,0.0001949611,0.0002360446,0.0001507095,0.0002572597,0.001115349],"category_scores_gemma":[0.0001132794,0.0001065481,0.0002375059,0.0003457633,0.0002657715,0.0002089409,0.00015353,0.0004664117,0.0002588585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001559291,"about_ca_system_score_gemma":0.0002365044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008380432,"about_ca_topic_score_gemma":0.001165795,"domain_scores_codex":[0.9999093,0.000007571901,0.000006876054,0.00002897291,0.00002227812,0.00002501647],"domain_scores_gemma":[0.9998715,0.000007466665,0.00004327955,0.00001333613,0.00002711161,0.00003739083],"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":[0.0009209327,0.00007925059,0.00138656,0.00003722194,0.00002061437,0.0000685146,0.00002823504,0.00004263673,0.9937703,0.0000260034,0.00009845444,0.003521238],"study_design_scores_gemma":[0.00003833273,0.002723491,0.08353649,0.00001417786,0.0001298906,0.0003592388,0.0001568732,0.000732046,0.9098561,0.0001948991,0.002227533,0.00003082182],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918604,0.001005431,0.004534394,0.000113579,0.00004732792,0.00003272586,0.001788266,0.0001267868,0.0004910099],"genre_scores_gemma":[0.9807822,0.001654872,0.008394724,0.000218962,0.00003142745,0.0002195768,0.003801838,0.0000749776,0.004821511],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001115349,"threshold_uncertainty_score":0.003731251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006716838278828659,"score_gpt":0.2406157650553246,"score_spread":0.2338989267764959,"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."}}