{"id":"W4312141237","doi":"10.1016/j.ultrasmedbio.2022.10.017","title":"Quantification of Local Vessel Wall and Plaque Volume Change for Assessment of Effects of Therapies on Carotid Atherosclerosis Based on 3-D Ultrasound Imaging","year":2022,"lang":"en","type":"article","venue":"Ultrasound in Medicine & Biology","topic":"Cerebrovascular and Carotid Artery Diseases","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Thrombosis and Atherosclerosis Research Institute","funders":"Research Grants Council, University Grants Committee; City University of Hong Kong","keywords":"Voxel; Medicine; Imaging biomarker; Ultrasound; Biomarker; Placebo; Nuclear medicine; Radiology; Arterial wall; Biomedical engineering; Cardiology; Magnetic resonance imaging; Pathology; Chemistry","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":[0.001589984,0.0006495942,0.0007831301,0.002335428,0.0002115795,0.0009893248,0.0003876647,0.0008271703,0.001121825],"category_scores_gemma":[0.001158803,0.0004121705,0.0006498245,0.001057012,0.000342162,0.0005771209,0.0003199635,0.0004714646,0.0002374321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002178338,"about_ca_system_score_gemma":0.0002621698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001269473,"about_ca_topic_score_gemma":0.002140339,"domain_scores_codex":[0.9994299,0.0001917331,0.00003830816,0.0000817912,0.0002201881,0.00003803732],"domain_scores_gemma":[0.9993167,0.0002647376,0.000153049,0.0000863409,0.0001409961,0.00003814049],"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":[0.002557559,0.0005292181,0.04672053,0.0007580583,0.0005448328,0.000254025,0.0005494884,0.008940339,0.7652367,0.0008270129,0.0008461431,0.172236],"study_design_scores_gemma":[0.0001838518,0.002651693,0.4986285,0.000127249,0.001461682,0.001588258,0.0004134485,0.136008,0.351928,0.001469342,0.005285147,0.0002547543],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8405153,0.008262607,0.1420304,0.0001978607,0.0001128438,0.0004769641,0.001419019,0.001200524,0.005784566],"genre_scores_gemma":[0.9063304,0.001956749,0.08869874,0.0001302727,0.0000695095,0.0006014855,0.0004111213,0.0001077803,0.001694048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002335428,"threshold_uncertainty_score":0.008408725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02345301687160911,"score_gpt":0.2994517515910611,"score_spread":0.275998734719452,"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."}}