{"id":"W3103429684","doi":"10.1007/s00062-020-00974-3","title":"Automated Perfusion Calculations vs. Visual Scoring of Collaterals and CBV-ASPECTS","year":2020,"lang":"en","type":"article","venue":"Clinical Neuroradiology","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Population Health Research Institute; University of Calgary","funders":"Universität Basel","keywords":"Medicine; Penumbra; Perfusion scanning; Modified Rankin Scale; Collateral circulation; Stroke (engine); Perfusion; Internal medicine; Nuclear medicine; Core (optical fiber); Cardiology; Radiology; Ischemic stroke; Ischemia","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000167551,0.0001188606,0.0005704816,0.00005104634,0.000034361,0.000004497221,0.0000737102,0.0001313275,0.00006701597],"category_scores_gemma":[0.001159515,0.0001034322,0.00009164094,0.0001704202,0.0002335458,0.00002707107,0.0001876418,0.0002305079,0.00002371914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001082604,"about_ca_system_score_gemma":0.00004067418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005254294,"about_ca_topic_score_gemma":4.091129e-7,"domain_scores_codex":[0.9985968,0.0001319142,0.0006114398,0.0003775581,0.0001025403,0.0001797066],"domain_scores_gemma":[0.9990142,0.0003991796,0.0001425426,0.0001717344,0.00005555324,0.0002168021],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001055964,0.0003188061,0.8542239,0.0002560288,0.0002122148,0.0004527555,0.0002647631,0.000081274,0.09269486,0.0005225625,0.04593893,0.003977931],"study_design_scores_gemma":[0.003153462,0.003206085,0.9111321,0.00005971994,0.0002378315,0.0001275808,0.00003901225,0.06850831,0.001602165,0.00001550961,0.01176329,0.00015496],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887823,0.00005605103,0.0001119178,0.008572769,0.0002275555,0.0003237491,0.000004314492,0.0001945865,0.001726736],"genre_scores_gemma":[0.9939582,0.0001149934,0.0007228391,0.004846607,0.000245192,0.000004418749,0.00001532328,0.00001742399,0.00007504396],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0910927,"threshold_uncertainty_score":0.4217844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05771069391898751,"score_gpt":0.3793420297361891,"score_spread":0.3216313358172015,"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."}}