{"id":"W2821928013","doi":"10.1007/s10439-018-2093-8","title":"A Numerical Preoperative Planning Model to Predict Arterial Deformations in Endovascular Aortic Aneurysm Repair","year":2018,"lang":"en","type":"article","venue":"Annals of Biomedical Engineering","topic":"Aortic aneurysm repair treatments","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; McGill University; Centre Hospitalier de l’Université de Montréal","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Abdominal aortic aneurysm; Medicine; Fluoroscopy; Endovascular aneurysm repair; Radiology; Aortic aneurysm; Aneurysm; Surgery","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002741084,0.0005374282,0.0004981305,0.0004730434,0.0003946715,0.0009251517,0.0009759715,0.001393178,0.002477497],"category_scores_gemma":[0.001746118,0.0007387256,0.0005516357,0.0004361429,0.0005427196,0.0004099659,0.0006419344,0.0007083309,0.0003691599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005596434,"about_ca_system_score_gemma":0.001313834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01681652,"about_ca_topic_score_gemma":0.008667422,"domain_scores_codex":[0.9998704,0.00003110828,0.00001076227,0.00002261439,0.00004794695,0.00001717026],"domain_scores_gemma":[0.9995108,0.000278809,0.00005688602,0.00003007191,0.00008575348,0.00003767625],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000009987378,0.00000958429,0.0002858067,0.000006815712,0.000002546202,0.00002861466,0.000007242941,0.9969989,0.0002013493,0.0003987371,0.00008542685,0.001965037],"study_design_scores_gemma":[0.00000233403,0.000005040236,0.00005229102,0.000001782258,0.00000156076,0.000008173132,0.000002197689,0.9995448,0.0001127084,0.0001765175,0.00009070362,0.000001888339],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1732128,0.0007157458,0.8086309,0.0008272438,0.0001905012,0.0001788607,0.0007919404,0.00120308,0.01424894],"genre_scores_gemma":[0.9361346,0.0003397612,0.0599205,0.00009561952,0.0000276379,0.0001349853,0.000312414,0.0001050811,0.00292927],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01681652,"threshold_uncertainty_score":0.03343731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03216373512860021,"score_gpt":0.3096238878260343,"score_spread":0.2774601526974341,"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."}}