{"id":"W3005613901","doi":"10.1161/str.51.suppl_1.58","title":"Abstract 58: Prediction of Malignant Edema Formation After Endovascular Treatment for Middle Cerebral Artery Infarction: The Added Value of Intracranial Cerebrospinal Fluid Volume","year":2020,"lang":"en","type":"article","venue":"Stroke","topic":"Cerebrovascular and Carotid Artery Diseases","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Thrombolysis; Odds ratio; Stroke (engine); Cerebral edema; Midline shift; Confidence interval; Edema; Middle cerebral artery; Receiver operating characteristic; Cerebrospinal fluid; Radiology; Infarction; Cerebral infarction; Internal medicine; Cardiology; Ischemia; Myocardial infarction; Computed tomography","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":[0.002444192,0.0009073936,0.0008102371,0.001282746,0.0001751824,0.001184048,0.0006573049,0.0004593414,0.00284283],"category_scores_gemma":[0.009936058,0.0001916009,0.001243148,0.0008363346,0.0002474852,0.0006102999,0.0005680242,0.0007100716,0.0006275133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003129522,"about_ca_system_score_gemma":0.0007417062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002097204,"about_ca_topic_score_gemma":0.001220246,"domain_scores_codex":[0.9991338,0.0003726462,0.00009619438,0.00014776,0.0001658151,0.0000838484],"domain_scores_gemma":[0.9946734,0.003240371,0.00108899,0.000246519,0.0004336482,0.0003170412],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001091008,0.0001862197,0.9757034,0.0000827928,0.0005484428,0.0001387253,0.00003242441,0.006964792,0.0003195012,0.00006007615,0.0006042553,0.01426834],"study_design_scores_gemma":[0.0001370403,0.00121514,0.7969118,0.0001192776,0.0009195472,0.001022431,0.0001243874,0.1960387,0.001431336,0.001073958,0.0009535188,0.00005291078],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920855,0.0007410345,0.004602173,0.0003634921,0.00005957893,0.00003603692,0.001412441,0.0001158323,0.0005838291],"genre_scores_gemma":[0.9972777,0.0001792111,0.001492604,0.0000208401,0.00005840871,0.00001766629,0.0007570924,0.000008475572,0.000188134],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00284283,"threshold_uncertainty_score":0.01292628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01966315023992754,"score_gpt":0.2250279284664681,"score_spread":0.2053647782265406,"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."}}