{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003926453,0.0007677916,0.0007909506,0.0008602615,0.0001570524,0.0007930445,0.0006035201,0.0005779394,0.0006727057],"category_scores_gemma":[0.01537134,0.000250984,0.0009306641,0.0004005074,0.0002445082,0.000618202,0.0005518355,0.0008037611,0.0002024099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003005648,"about_ca_system_score_gemma":0.0005921543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002058636,"about_ca_topic_score_gemma":0.002174502,"domain_scores_codex":[0.9985524,0.0008947094,0.00008079477,0.0002235238,0.0001677992,0.00008074901],"domain_scores_gemma":[0.9923895,0.005352692,0.0008679886,0.0005773403,0.0004182371,0.000394292],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001037677,0.0002349889,0.9619641,0.00003205203,0.0006001368,0.0001037311,0.00003665235,0.01655311,0.000296321,0.00003322303,0.0001636351,0.01894429],"study_design_scores_gemma":[0.0001393422,0.001869609,0.558691,0.00005128953,0.0008787112,0.0006826784,0.00008227675,0.4356423,0.0007911781,0.0007045405,0.0004273123,0.00003976952],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951559,0.0004917619,0.00374936,0.0001914225,0.00002133021,0.00001435929,0.0001212243,0.00003974733,0.000214861],"genre_scores_gemma":[0.998607,0.00008246387,0.0009855017,0.00001648996,0.00002219902,0.000004591204,0.000196265,0.000003797649,0.00008183914],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003926453,"threshold_uncertainty_score":0.0207653,"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."}}