{"id":"W3043494707","doi":"10.1016/j.yacr.2020.05.003","title":"Advances in Intracranial Perfusion Imaging for Thrombectomy Patient Selection","year":2020,"lang":"en","type":"article","venue":"Advances in Clinical Radiology","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ottawa Hospital; University of Toronto","funders":"","keywords":"Selection (genetic algorithm); Perfusion scanning; Medicine; Perfusion; Radiology; Computer science; Artificial intelligence","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":[0.006411647,0.001037525,0.001480162,0.00381357,0.0005897395,0.003838711,0.001729553,0.001521679,0.005842871],"category_scores_gemma":[0.02322066,0.0004188913,0.0008331903,0.001864386,0.0009957863,0.003511862,0.001250092,0.003938928,0.00273182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001425139,"about_ca_system_score_gemma":0.002872282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002482302,"about_ca_topic_score_gemma":0.004232765,"domain_scores_codex":[0.9974084,0.0009423772,0.0003370371,0.0005086433,0.0006344579,0.0001690069],"domain_scores_gemma":[0.9827288,0.009048526,0.001443855,0.0007866467,0.004929789,0.001062443],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002410431,0.0002694151,0.02977463,0.001029462,0.0001395989,0.001086006,0.0002550503,0.001549821,0.003997817,0.008703418,0.04259255,0.9103612],"study_design_scores_gemma":[0.0003712311,0.001283819,0.1170942,0.009978047,0.00084247,0.04477972,0.001201026,0.0327785,0.01412423,0.05284313,0.724196,0.0005076102],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.06709898,0.530851,0.1602975,0.1264325,0.01032183,0.0004375972,0.00111249,0.001816743,0.1016314],"genre_scores_gemma":[0.3589125,0.3464045,0.2108015,0.02669776,0.04420929,0.0004594631,0.002530932,0.0008795973,0.009104422],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006411647,"threshold_uncertainty_score":0.03390843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02217083898876362,"score_gpt":0.3793379605865628,"score_spread":0.3571671215977992,"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."}}