{"id":"W1494291832","doi":"10.1007/s00062-009-9019-7","title":"Dynamic CT Angiography and CT Perfusion Employing a 320-Detector Row CT","year":2009,"lang":"en","type":"article","venue":"Clinical Neuroradiology","topic":"Vascular Malformations Diagnosis and Treatment","field":"Medicine","cited_by":76,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Western Hospital; Hospital for Sick Children; SickKids Foundation; University of Toronto","funders":"","keywords":"Medicine; Perfusion; Angiography; Perfusion scanning; Radiology; Nuclear medicine; Tomography; Cerebral perfusion pressure; Rotational angiography","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":[0.002973625,0.001698658,0.0009727199,0.003681292,0.0008646507,0.001201654,0.001158081,0.003430651,0.009909051],"category_scores_gemma":[0.004742017,0.002114733,0.001052928,0.002120278,0.000967685,0.002528789,0.001068536,0.002719557,0.002171365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005584462,"about_ca_system_score_gemma":0.0014847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001653312,"about_ca_topic_score_gemma":0.001958055,"domain_scores_codex":[0.9992817,0.0002102927,0.0001307135,0.0001834681,0.00007589933,0.0001179436],"domain_scores_gemma":[0.9986885,0.0006989804,0.00005167813,0.0001856493,0.0002450599,0.0001302359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.01493264,0.001720302,0.05154755,0.001144719,0.0005223581,0.07488549,0.0005895454,0.01145833,0.627955,0.008173596,0.007176146,0.1998943],"study_design_scores_gemma":[0.003214852,0.009833874,0.1769478,0.0008288557,0.002076619,0.3500082,0.0007397779,0.08027689,0.3067272,0.01053114,0.0582322,0.0005825858],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5578856,0.009400605,0.3671742,0.004451857,0.0006639915,0.00367367,0.003518335,0.002401386,0.05083033],"genre_scores_gemma":[0.6153082,0.006053125,0.3624098,0.002056024,0.0005851752,0.001399419,0.001236616,0.001003243,0.009948352],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009909051,"threshold_uncertainty_score":0.03314912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03169240355994749,"score_gpt":0.3454274661578985,"score_spread":0.313735062597951,"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."}}