{"id":"W3081801583","doi":"10.1007/s00234-020-02526-5","title":"Prediction of long-term recurrent ischemic stroke: the added value of non-contrast CT, CT perfusion, and CT angiography","year":2020,"lang":"en","type":"article","venue":"Neuroradiology","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Stichting voor de Technische Wetenschappen; Radboud Universitair Medisch Centrum; Leids Universitair Medisch Centrum; St. Antonius Ziekenhuis; Fonds NutsOhra; Hartstichting; Radboud Universiteit; Erasmus Medisch Centrum; Universiteit Leiden","keywords":"Medicine; Stroke (engine); Radiology; Perfusion scanning; Neuroradiology; Angiography; Proportional hazards model; Internal medicine; Perfusion; Neurology; Cardiology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001421497,0.0001952145,0.000499818,0.0001237089,0.00003883192,0.000003728115,0.0001866035,0.00003071281,0.00006039712],"category_scores_gemma":[0.0001389101,0.0001424091,0.000219601,0.0002576471,0.0003180679,0.00003709034,0.0001444882,0.0002928477,0.000002971497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001370622,"about_ca_system_score_gemma":0.00003434751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001516309,"about_ca_topic_score_gemma":9.021496e-7,"domain_scores_codex":[0.998639,0.00009685985,0.0004381604,0.0003865718,0.0002033113,0.0002360379],"domain_scores_gemma":[0.9990857,0.0001318814,0.0002399309,0.0003589016,0.00006430537,0.0001192447],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004357189,0.0001324268,0.5840841,0.0003169252,0.0004035428,0.0001650677,0.0003354973,0.000009238868,0.3315666,0.00002573011,0.07252339,0.01000175],"study_design_scores_gemma":[0.003694472,0.002279436,0.9190935,0.0001256173,0.001015591,0.0009499298,0.0001807409,0.001833728,0.0617798,0.000002404588,0.008878639,0.0001660766],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933236,0.001120495,0.0003080324,0.002317533,0.0002820741,0.0006663259,0.00009959452,0.00003832018,0.00184403],"genre_scores_gemma":[0.9981446,0.0005551866,0.0001208885,0.0008230094,0.0002041645,0.00002368049,0.00006217096,0.00002254519,0.00004376204],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3350095,"threshold_uncertainty_score":0.5807276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01631055489997637,"score_gpt":0.2403564694720508,"score_spread":0.2240459145720745,"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."}}