{"id":"W4210464185","doi":"10.1161/str.53.suppl_1.wmp61","title":"Abstract WMP61: Simultaneous Cerebral Blood Flow And Blood Volume Thresholding Produces Consistent Volumes Between Computed Tomography Perfusion Deconvolution Algorithms","year":2022,"lang":"en","type":"article","venue":"Stroke","topic":"MRI in cancer diagnosis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Robarts Clinical Trials","funders":"","keywords":"Cerebral blood flow; Medicine; Deconvolution; Nuclear medicine; Perfusion scanning; Thresholding; Perfusion; Algorithm; Mathematics; Radiology; Internal medicine; Artificial intelligence; Computer science","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":[0.003456301,0.0006375572,0.0008658758,0.0005007168,0.0003552508,0.00134123,0.0006461309,0.0008253814,0.002398671],"category_scores_gemma":[0.01466211,0.0002984045,0.0007159065,0.0004455997,0.0007918834,0.0007139665,0.001027717,0.0006357166,0.0007060106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004778684,"about_ca_system_score_gemma":0.0009414598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00235321,"about_ca_topic_score_gemma":0.001461896,"domain_scores_codex":[0.9984506,0.0003848894,0.0002122235,0.0005517915,0.0002970807,0.000103377],"domain_scores_gemma":[0.9966936,0.001225355,0.0007867703,0.0006964807,0.0004404763,0.0001572628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.02358645,0.001655322,0.5164863,0.001617276,0.002663034,0.001284594,0.0008297414,0.06287652,0.1048582,0.002457125,0.01625556,0.2654299],"study_design_scores_gemma":[0.002351935,0.005293373,0.5633161,0.0002265723,0.001384966,0.006328153,0.0003470994,0.3047975,0.09668067,0.008708276,0.01033403,0.0002313943],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9586499,0.0004527803,0.03522047,0.0002064013,0.0000582495,0.0001303091,0.003325992,0.0005582353,0.001397754],"genre_scores_gemma":[0.980806,0.00008976455,0.01090322,0.00008482518,0.00004931881,0.0001235618,0.007408928,0.0001306282,0.0004036792],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003456301,"threshold_uncertainty_score":0.01827884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01644298217535075,"score_gpt":0.2498384241775345,"score_spread":0.2333954420021837,"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."}}