{"id":"W2913740561","doi":"10.1080/19942060.2019.1572540","title":"Effects of aspect ratio, wall thickness and hypertension in the patient-specific computational modeling of cerebral aneurysms using fluid-structure interaction analysis","year":2019,"lang":"en","type":"article","venue":"Engineering Applications of Computational Fluid Mechanics","topic":"Intracranial Aneurysms: Treatment and Complications","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Aneurysm; Cardiology; Fluid–structure interaction; Hemodynamics; Internal medicine; Aspect ratio (aeronautics); Blood pressure; Medicine; Radiology; Materials science; Structural engineering; Composite material","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":[0.00009876579,0.0001544678,0.0003608091,0.0004129831,0.00004861267,0.00001049772,0.0001062128,0.00007244119,0.00001071967],"category_scores_gemma":[0.00002563033,0.0001338622,0.0001128211,0.0008424644,0.00001872541,0.00008801536,0.00002781914,0.0001396985,0.000001116004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004724128,"about_ca_system_score_gemma":0.00005764809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003473162,"about_ca_topic_score_gemma":0.000001187119,"domain_scores_codex":[0.9987584,0.00003596387,0.0005108489,0.0002369446,0.0003476251,0.000110187],"domain_scores_gemma":[0.9988401,0.0003667789,0.0001676506,0.0002158232,0.0003703002,0.00003936109],"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":[0.00004457189,0.000176189,0.0002151961,0.0001706364,0.0001277062,0.000001026153,0.0003110804,0.8944265,0.0787941,0.02543006,0.000002517277,0.000300386],"study_design_scores_gemma":[0.0005843141,0.0001116878,0.003429723,0.0000638135,0.0002924145,0.00007647656,0.00009611401,0.9885194,0.003722196,0.002999399,0.000007267749,0.00009724623],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.594721,0.0001515441,0.4044599,0.00008050501,0.00002826422,0.0005242663,0.00001605465,0.00001289421,0.000005562526],"genre_scores_gemma":[0.9751246,0.00001252164,0.02452337,0.00004045967,0.00002137356,0.00003485486,0.0002259472,0.00001552468,0.000001375737],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3804036,"threshold_uncertainty_score":0.5458743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008427646527931421,"score_gpt":0.2193317611101757,"score_spread":0.2109041145822442,"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."}}