{"id":"W4308148994","doi":"10.1016/j.jstrokecerebrovasdis.2022.106844","title":"Feasibility of deconvolution-based multiphase CT angiography perfusion maps in acute ischemic stroke: Simulation and concordance with CT perfusion","year":2022,"lang":"en","type":"article","venue":"Journal of Stroke and Cerebrovascular Diseases","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University; Lawson Health Research Institute","funders":"","keywords":"Penumbra; Medicine; Perfusion scanning; Surrogate endpoint; Nuclear medicine; Stroke (engine); Angiography; Perfusion; Radiology; Internal medicine; Ischemia; Physics","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":[0.00231534,0.0004525278,0.0003323913,0.0006886612,0.0002277495,0.001331815,0.0005099025,0.0008497013,0.001064959],"category_scores_gemma":[0.01205129,0.000422524,0.0004071473,0.0002544903,0.000350646,0.0006892088,0.0006531426,0.000688654,0.0002772215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004778245,"about_ca_system_score_gemma":0.001414881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002573743,"about_ca_topic_score_gemma":0.001518704,"domain_scores_codex":[0.9995518,0.0002569276,0.00003151065,0.00004887806,0.00007770327,0.0000331699],"domain_scores_gemma":[0.9975606,0.001718673,0.0001383093,0.0002085004,0.0003017723,0.00007205717],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.007972815,0.001031865,0.0683556,0.0007614648,0.0003405212,0.001351574,0.000965498,0.5209095,0.1460105,0.005495031,0.001792631,0.2450129],"study_design_scores_gemma":[0.00007515438,0.0003493472,0.01020148,0.00005286389,0.00008902625,0.0007213276,0.00007188564,0.9459144,0.03995278,0.001833269,0.0006911734,0.0000472334],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6538739,0.0006613969,0.3407951,0.0004049826,0.0000594957,0.000229589,0.0002860146,0.001014046,0.002675516],"genre_scores_gemma":[0.9595807,0.0001884093,0.03961986,0.00005467545,0.000009426116,0.00007078513,0.0000950489,0.00009206676,0.0002890426],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002573743,"threshold_uncertainty_score":0.01224482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009730159662209336,"score_gpt":0.2559894966238392,"score_spread":0.2462593369616299,"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."}}