{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002291858,0.0004568297,0.0004152014,0.001858077,0.0001130628,0.000581175,0.0003238351,0.0002294045,0.0008717207],"category_scores_gemma":[0.006776388,0.0001545814,0.0003111013,0.001081372,0.0003843305,0.0004477544,0.0004000324,0.0002004874,0.0001802711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002240078,"about_ca_system_score_gemma":0.000276785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000901564,"about_ca_topic_score_gemma":0.001120477,"domain_scores_codex":[0.998519,0.0006293071,0.0001410152,0.0002436544,0.000400749,0.00006621658],"domain_scores_gemma":[0.9944834,0.001670201,0.002785489,0.0003588571,0.000553016,0.0001489517],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005908811,0.00004144004,0.9761644,0.00006800085,0.0001700157,0.00003861973,0.00007649246,0.000443704,0.001935637,0.00007347071,0.0001520847,0.02024536],"study_design_scores_gemma":[0.00004899823,0.0006209464,0.9926274,0.00002433064,0.00009865411,0.0006193052,0.00008041984,0.003751649,0.001641215,0.0001458569,0.0003262829,0.00001483483],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953342,0.0004400684,0.003110937,0.00002271611,0.000007567658,0.00003890935,0.0003128768,0.0000606733,0.0006719882],"genre_scores_gemma":[0.9978836,0.0000674988,0.00165163,0.00001047133,0.00001412098,0.00003242553,0.0002298859,0.000007490337,0.0001028305],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002291858,"threshold_uncertainty_score":0.01212066,"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."}}