{"id":"W3087318558","doi":"10.1259/bjr.20190890","title":"Defining reperfusion post endovascular therapy in ischemic stroke using MR-dynamic contrast enhanced perfusion","year":2020,"lang":"en","type":"article","venue":"British Journal of Radiology","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lawson Health Research Institute; Hotchkiss Brain Institute; Foothills Medical Centre; University of Calgary","funders":"","keywords":"Medicine; Perfusion; Cerebral blood flow; Thrombolysis; Infarction; Stroke (engine); Diffusion MRI; Cardiology; Ischemia; Cerebral infarction; Perfusion scanning; Magnetic resonance imaging; Lesion; Internal medicine; Cerebral perfusion pressure; Radiology; Pathology; 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":[0.00161271,0.0006272275,0.0006228856,0.000982797,0.00009750904,0.0005920765,0.00026781,0.0003991615,0.0005814692],"category_scores_gemma":[0.003340823,0.0001111297,0.0005086023,0.0003534961,0.0002575891,0.0003867897,0.0002870984,0.0003203334,0.0002117933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002330092,"about_ca_system_score_gemma":0.0003052476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001033373,"about_ca_topic_score_gemma":0.00120867,"domain_scores_codex":[0.9995874,0.0001933064,0.00003700078,0.00007148927,0.00006939751,0.00004144982],"domain_scores_gemma":[0.9993507,0.0003076162,0.0002106509,0.00003288611,0.00005311764,0.00004497129],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008835913,0.0006487924,0.7697679,0.0002236198,0.0006856562,0.0006493643,0.00007078406,0.0343588,0.03632751,0.0002683376,0.0007820491,0.1473813],"study_design_scores_gemma":[0.0001120392,0.00353792,0.7870291,0.00004668888,0.0003765919,0.001009158,0.00005441202,0.193007,0.01324256,0.0008179425,0.0007247509,0.00004183093],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9826758,0.001215579,0.01499511,0.000131141,0.00002077476,0.00006615592,0.000247656,0.0001165893,0.0005312674],"genre_scores_gemma":[0.9952813,0.0002638892,0.003940715,0.00002857937,0.00003019325,0.00003600519,0.0002351454,0.000007060814,0.0001771714],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00161271,"threshold_uncertainty_score":0.008528888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01053675550736498,"score_gpt":0.247174176385138,"score_spread":0.236637420877773,"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."}}