{"id":"W4399975552","doi":"10.3390/jcm13133647","title":"Dual-Energy CT in Acute Stroke: Could Non-Contrast CT Be Replaced by Virtual Non-Contrast CT? A Feasibility Study","year":2024,"lang":"en","type":"article","venue":"Journal of Clinical Medicine","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Contrast (vision); Acute stroke; Dual energy; Nuclear medicine; Stroke (engine); Radiology; Internal medicine; Artificial intelligence","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003896977,0.0004234598,0.001717377,0.000258634,0.00005862187,0.00004918545,0.0003568041,0.00007620566,0.0001436996],"category_scores_gemma":[0.001440273,0.0003162796,0.000328314,0.0004429302,0.0002243884,0.000497161,0.00006114693,0.002277538,0.00000830754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001827682,"about_ca_system_score_gemma":0.0001627677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005606758,"about_ca_topic_score_gemma":0.0001049821,"domain_scores_codex":[0.9948261,0.0002093434,0.003110429,0.0004615608,0.0008397861,0.0005528287],"domain_scores_gemma":[0.9966,0.001936751,0.0003671854,0.0004393785,0.0001460529,0.0005105803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.008695833,0.009297169,0.2269516,0.0008861997,0.0104167,0.08169647,0.0049785,0.02054389,0.05988381,0.0003495308,0.2060997,0.3702006],"study_design_scores_gemma":[0.1482919,0.04400765,0.2946044,0.0133141,0.00686941,0.01054364,0.02359411,0.3098575,0.0101915,0.002130549,0.1313725,0.005222796],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9710316,0.002031957,0.01827124,0.002652285,0.004211077,0.0003710322,0.0000452493,0.0001049771,0.001280574],"genre_scores_gemma":[0.9960895,0.0008312931,0.0001647098,0.0006436583,0.001681786,0.00001134055,0.000008145926,0.00007096844,0.0004985529],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3649778,"threshold_uncertainty_score":0.999929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02679069595748867,"score_gpt":0.3667495141587639,"score_spread":0.3399588182012753,"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."}}