{"id":"W2003237447","doi":"10.1118/1.3284976","title":"Semiautomatic vessel wall detection and quantification of wall thickness in computed tomography images of human abdominal aortic aneurysms","year":2010,"lang":"en","type":"article","venue":"Medical Physics","topic":"Aortic aneurysm repair treatments","field":"Medicine","cited_by":93,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Lumen (anatomy); Segmentation; Medicine; Repeatability; Abdominal aortic aneurysm; Reproducibility; Aneurysm; Radiology; Histogram; Tomography; Computed tomography; Biomedical engineering; Nuclear medicine; Artificial intelligence; Computer science; Mathematics; Surgery; Image (mathematics)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003127128,0.0001514325,0.0004310968,0.000113458,0.00003632775,0.000005021698,0.000100165,0.0001593668,0.00002531704],"category_scores_gemma":[0.0001769029,0.0001284889,0.00007849815,0.0003374563,0.0004317455,0.00007316439,0.00003595783,0.0003739911,0.000002593222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001781081,"about_ca_system_score_gemma":0.00006885334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001868732,"about_ca_topic_score_gemma":0.00002895761,"domain_scores_codex":[0.9984069,0.00005958044,0.0005560354,0.0002524608,0.00055101,0.0001739471],"domain_scores_gemma":[0.9990135,0.0001573677,0.0002473139,0.0003211333,0.0001136225,0.000147074],"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":[0.0001503295,0.002051106,0.2404499,0.0016432,0.00009212353,0.00008016457,0.0009145295,0.000003833087,0.7070242,0.0001485057,0.00004712245,0.04739494],"study_design_scores_gemma":[0.002306564,0.0005033873,0.7712588,0.0003247331,0.000232425,0.0001088146,0.00005213961,0.01540975,0.2081897,0.001465525,0.000003518013,0.0001446414],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995697,0.00003811095,0.00349591,0.0002199456,0.00008584034,0.0003274329,0.000002323675,0.00005185873,0.00008160971],"genre_scores_gemma":[0.9993678,0.000008204146,0.000442067,0.00006327443,0.00004757081,0.0000168376,0.00002174885,0.00001893412,0.00001359591],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5308089,"threshold_uncertainty_score":0.5239627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01237121170053951,"score_gpt":0.2814813369945646,"score_spread":0.2691101252940251,"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."}}