{"id":"W4408087669","doi":"10.25259/jcis_171_2024","title":"Efficacy of dual-layer spectral detector computed tomography for detecting early ischemic changes in patients with acute ischemic stroke: A pilot study","year":2025,"lang":"en","type":"article","venue":"Journal of Clinical Imaging Science","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Kappa; Receiver operating characteristic; Magnetic resonance imaging; Dual layer; Nuclear medicine; Computed tomography; Radiology; Cohen's kappa; Stroke (engine); Retrospective cohort study; Ischemic stroke; Acute stroke; Ischemia; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001397966,0.0001954402,0.0005575015,0.0005819452,0.00009278965,0.000068179,0.0004798966,0.00002452689,0.000001700978],"category_scores_gemma":[0.0005349624,0.0001609672,0.0001179263,0.001197029,0.0002949115,0.0005833727,0.00007488544,0.0006114686,3.176251e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005844644,"about_ca_system_score_gemma":0.0001229443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004656999,"about_ca_topic_score_gemma":0.000009110045,"domain_scores_codex":[0.997773,0.00003751931,0.001021465,0.000281373,0.0004533343,0.0004333046],"domain_scores_gemma":[0.9982314,0.0006213609,0.0004251956,0.0002234379,0.0003754752,0.00012309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001177934,0.0008561476,0.8812088,0.00005742668,0.0001926488,0.00002154733,0.0003600296,0.002868608,0.09025709,0.000003010571,0.00004266422,0.02295414],"study_design_scores_gemma":[0.008455045,0.002156443,0.923858,0.0005065672,0.0001531548,0.000009107624,0.0002131523,0.009613388,0.05470667,0.0000254856,0.00003860523,0.0002643651],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9822285,0.0001007558,0.01657914,0.00005624095,0.0005199634,0.0003733175,0.000004652875,0.00004034735,0.00009703984],"genre_scores_gemma":[0.9867494,0.000005326574,0.01308246,0.00004433765,0.00008875449,0.00000517896,2.425908e-7,0.00001842503,0.000005885443],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04264926,"threshold_uncertainty_score":0.6564053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02099147200488492,"score_gpt":0.3277965598876395,"score_spread":0.3068050878827546,"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."}}