{"id":"W4380368840","doi":"10.1007/s13239-023-00669-z","title":"A Vector Fitting Approach for the Automated Estimation of Lumped Boundary Conditions of 1D Circulation Models","year":2023,"lang":"en","type":"article","venue":"Cardiovascular Engineering and Technology","topic":"Cardiovascular Health and Disease Prevention","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Canada Research Chairs; Politecnico di Torino","keywords":"Circulation (fluid dynamics); Boundary (topology); Estimation; Computer science; Mathematics; Engineering; Systems engineering; Mathematical analysis; Aerospace engineering","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":[0.000687155,0.0007930506,0.0006197034,0.0008483196,0.0003242142,0.0006266895,0.0006855345,0.000810563,0.003006532],"category_scores_gemma":[0.002452182,0.0004883433,0.0006274712,0.0006521377,0.0002817095,0.0008474656,0.0006656801,0.0008368196,0.001119153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002981065,"about_ca_system_score_gemma":0.0006329788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00293283,"about_ca_topic_score_gemma":0.002253803,"domain_scores_codex":[0.9996662,0.00009982684,0.00002709108,0.00008265863,0.0001022204,0.00002196687],"domain_scores_gemma":[0.9993712,0.0003081281,0.00009707154,0.0000828533,0.0001207038,0.00002006712],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001447073,0.0001018145,0.001480465,0.0001788005,0.00005262479,0.0001228896,0.0002497662,0.4630852,0.03491591,0.00665782,0.001172896,0.4918371],"study_design_scores_gemma":[0.000003419886,0.00001749118,0.0001594447,0.000006086997,0.000004102627,0.00002882131,0.00001061519,0.9954081,0.002537628,0.0009344355,0.0008818565,0.00000793564],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002499443,0.00002780927,0.996775,0.000008812707,0.000003604366,0.00001133561,0.00001507861,0.0005497267,0.0001091505],"genre_scores_gemma":[0.2125733,0.000205029,0.785112,0.00004271548,0.00001898413,0.0001310825,0.0002971327,0.0002777017,0.001341949],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003006532,"threshold_uncertainty_score":0.01005781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01429343996502334,"score_gpt":0.2529392002152157,"score_spread":0.2386457602501924,"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."}}