{"id":"W4398135946","doi":"10.1016/j.jvs.2024.01.215","title":"Revolutionizing aortic aneurysm assessment with artificial intelligence","year":2024,"lang":"en","type":"article","venue":"Journal of Vascular Surgery","topic":"Aortic aneurysm repair treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Medicine; Aneurysm; Aortic aneurysm; Radiology","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":[0.002119194,0.0008354083,0.0007257852,0.001442334,0.0003531577,0.002829666,0.00149,0.001208968,0.002991775],"category_scores_gemma":[0.01082359,0.0003263443,0.0006928959,0.0005247621,0.001077378,0.001842904,0.002531683,0.002380113,0.001225411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004204131,"about_ca_system_score_gemma":0.001031878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001894464,"about_ca_topic_score_gemma":0.002863969,"domain_scores_codex":[0.9978653,0.0008958161,0.0001161463,0.0003059676,0.0007169037,0.00009995613],"domain_scores_gemma":[0.9946292,0.003633481,0.0002661984,0.0005903858,0.0007018481,0.0001789863],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003648946,0.0005433697,0.01301799,0.0005081336,0.0003519562,0.0003438777,0.0003381626,0.03645563,0.007685535,0.01880366,0.01632654,0.9052602],"study_design_scores_gemma":[0.0001422152,0.000521391,0.01031703,0.0005717041,0.0003472432,0.001576216,0.000524427,0.6938986,0.01054671,0.2157074,0.06571206,0.0001349756],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.067954,0.01146202,0.8317249,0.02103778,0.001276493,0.0003532847,0.0006700471,0.00430558,0.06121581],"genre_scores_gemma":[0.631891,0.004078586,0.3538876,0.003880046,0.0007724407,0.0001247046,0.0006901139,0.0002001298,0.004475486],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002991775,"threshold_uncertainty_score":0.01120752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03350539808538503,"score_gpt":0.3066443215340109,"score_spread":0.2731389234486259,"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."}}