{"id":"W1945076021","doi":"10.1161/01.str.32.1.175","title":"Perfusion Mapping Using Computed Tomography Allows Accurate Prediction of Cerebral Infarction in Experimental Brain Ischemia","year":2001,"lang":"en","type":"article","venue":"Stroke","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":122,"is_retracted":false,"has_abstract":true,"ca_institutions":"London Health Sciences Centre; Lawson Health Research Institute; Western University","funders":"Medical Research Council Canada; Deutsche Forschungsgemeinschaft","keywords":"Medicine; Ischemia; Infarction; Perfusion; Cerebral blood flow; Cerebral infarction; Nuclear medicine; Perfusion scanning; Cardiology; Internal medicine; Myocardial infarction","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004423876,0.0004268373,0.0002664581,0.0004709241,0.00006318303,0.0002773535,0.0001727023,0.0002885242,0.0003546738],"category_scores_gemma":[0.001629718,0.0001318961,0.0001109793,0.0001610464,0.0003188547,0.0002818438,0.0001379713,0.0003607393,0.0001221378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002029587,"about_ca_system_score_gemma":0.0001740718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005476507,"about_ca_topic_score_gemma":0.0004729917,"domain_scores_codex":[0.9998776,0.0000285929,0.00001055984,0.00003183632,0.00003685303,0.00001451619],"domain_scores_gemma":[0.9995309,0.000168388,0.0001640351,0.00004393041,0.00006273147,0.0000300137],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001831597,0.0001530422,0.06055621,0.00008281424,0.00004609082,0.0003104285,0.00005091227,0.002040316,0.8858538,0.0001180422,0.0001474566,0.04880924],"study_design_scores_gemma":[0.0001007055,0.004724349,0.4399213,0.00006634423,0.000306125,0.004752276,0.00006686182,0.05652114,0.4916997,0.0005067249,0.001295211,0.00003928681],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9731758,0.001665539,0.02448093,0.00006811006,0.00001121971,0.0000311381,0.00007332156,0.0001369597,0.0003569328],"genre_scores_gemma":[0.9902347,0.0009462297,0.008441358,0.00001815333,0.00001500813,0.00003782425,0.0001203376,0.00001201817,0.000174296],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005476507,"threshold_uncertainty_score":0.002339602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02557096975356858,"score_gpt":0.2741299881259143,"score_spread":0.2485590183723457,"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."}}