{"id":"W2023237910","doi":"10.1159/000068824","title":"Visualization of Ischaemic Penumbra Using a Computed Tomography Perfusion Method","year":2003,"lang":"en","type":"article","venue":"Cerebrovascular Diseases","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Robarts Clinical Trials","funders":"","keywords":"Penumbra; Medicine; Perfusion; Cerebral blood flow; Magnetic resonance imaging; Perfusion scanning; Nuclear medicine; Infarction; Decompressive craniectomy; Middle cerebral artery; Radiology; Blood flow; Cerebral blood volume; Ischemia; Cardiology; Traumatic brain injury; Myocardial infarction","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":[0.0001762485,0.0005211363,0.0001723029,0.001997319,0.0002102801,0.0003232013,0.0003115415,0.000747114,0.003601867],"category_scores_gemma":[0.0009524314,0.0003111117,0.0001475644,0.0003301571,0.0003515262,0.0004382989,0.0003142755,0.0006096825,0.0004464954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001829712,"about_ca_system_score_gemma":0.0002521276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001642545,"about_ca_topic_score_gemma":0.001186704,"domain_scores_codex":[0.9999143,0.00002119811,0.000005536094,0.00001413559,0.00001317088,0.00003174684],"domain_scores_gemma":[0.9997849,0.00007450346,0.00002672878,0.00002489494,0.00002886883,0.00006023211],"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":[0.002906598,0.0002965194,0.04095528,0.0004146465,0.00009976755,0.2187039,0.0004017987,0.0008151542,0.6411618,0.001409329,0.002660866,0.09017432],"study_design_scores_gemma":[0.0004357336,0.002731884,0.1849436,0.0002655151,0.000169429,0.6768172,0.0002422372,0.01170113,0.111362,0.001278148,0.009931158,0.0001219782],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9392663,0.01228381,0.0303528,0.001606471,0.0001888083,0.0003520997,0.0007936982,0.0004302688,0.01472572],"genre_scores_gemma":[0.9855823,0.002949792,0.009601632,0.0001817442,0.0001367869,0.00008540018,0.000186224,0.00001740114,0.001258785],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.003601867,"threshold_uncertainty_score":0.0120495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01532411397194075,"score_gpt":0.292634210289447,"score_spread":0.2773100963175062,"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."}}