{"id":"W3175151306","doi":"10.1161/str.48.suppl_1.42","title":"Abstract 42: Blood Biomarkers Refect Tissue Viability in Acute Ischemic Stroke","year":2017,"lang":"en","type":"article","venue":"Stroke","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Neuroimaging; Stroke (engine); Pathological; Biomarker; Observational study; Prospective cohort study; Imaging biomarker; Internal medicine; Perfusion scanning; Radiology; Cardiology; Perfusion; Magnetic resonance imaging","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0008592714,0.0008585614,0.0005384486,0.00167388,0.000193441,0.001084702,0.0003118213,0.0004151616,0.002821411],"category_scores_gemma":[0.001767267,0.0001544986,0.0003082478,0.001444601,0.0002055216,0.0003025024,0.0003297146,0.0004035537,0.000758909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004394314,"about_ca_system_score_gemma":0.0004525134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002391682,"about_ca_topic_score_gemma":0.001153888,"domain_scores_codex":[0.9994619,0.0001712145,0.00007826572,0.00008661144,0.0001363382,0.00006562686],"domain_scores_gemma":[0.9985123,0.0002667309,0.0007112831,0.0000467117,0.0003017147,0.0001611642],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009159129,0.00009341985,0.969808,0.0002773422,0.000255985,0.0001873476,0.00003435882,0.0003539746,0.002012955,0.00006235331,0.001547652,0.02445078],"study_design_scores_gemma":[0.00003270128,0.0002752292,0.9968086,0.00006138067,0.0001135012,0.0004643324,0.00003232419,0.0004444682,0.0006220085,0.0001270115,0.001010512,0.000007925236],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9745174,0.01620808,0.0009746208,0.0005215387,0.0001249397,0.00007525007,0.004477484,0.00006408636,0.003036569],"genre_scores_gemma":[0.9938367,0.001874132,0.0007465473,0.0001291609,0.0001042848,0.00004382811,0.002333681,0.000005244455,0.0009264693],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002821411,"threshold_uncertainty_score":0.009438574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01504615200306039,"score_gpt":0.2943399014264914,"score_spread":0.279293749423431,"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."}}