{"id":"W6982199341","doi":"","title":"Hemodynamics of an anatomically realistic human aorta","year":2005,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Topological and Geometric Data Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McGill University","keywords":"Hemodynamics; Disease; Ethnic group; Aorta; Blood pressure","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003251483,0.0001982116,0.0002226551,0.0002989869,0.0002552193,0.0009063917,0.0002168885,0.0009141167,0.005012319],"category_scores_gemma":[0.001022745,0.0002395258,0.0002263944,0.0002436697,0.0004019402,0.0002621601,0.0003086625,0.0003729828,0.0005216659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001953773,"about_ca_system_score_gemma":0.0003478347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001721856,"about_ca_topic_score_gemma":0.001688159,"domain_scores_codex":[0.9999124,0.00003193191,0.00000509105,0.00002454581,0.00001447597,0.00001158056],"domain_scores_gemma":[0.9997825,0.0001484042,0.00001393168,0.00001911786,0.00001594858,0.00002004032],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003604075,0.000727587,0.04270575,0.001016579,0.0001850151,0.01534127,0.002683597,0.2346796,0.3998167,0.02164089,0.02480781,0.2527912],"study_design_scores_gemma":[0.0004707421,0.004620514,0.2439899,0.0003453172,0.0003136719,0.02504513,0.001733584,0.608924,0.05496843,0.01977284,0.03949935,0.0003164681],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8547266,0.00137131,0.118404,0.002307725,0.0003047938,0.0001329792,0.001926773,0.001091632,0.01973433],"genre_scores_gemma":[0.9735751,0.0008797449,0.01936975,0.0002020064,0.00009301405,0.00008997924,0.0003431842,0.00007187815,0.005375477],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005012319,"threshold_uncertainty_score":0.01676792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01464073944530739,"score_gpt":0.2662294129892718,"score_spread":0.2515886735439645,"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."}}