{"id":"W3046498421","doi":"10.11159/icbes20.127","title":"Sensitivity Analysis of a Hemodynamic-based Model for Thrombus Formation and Growth","year":2020,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Electrical Engineering and Computer Systems and Science","topic":"Apelin-related biomedical research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"TU Graz, Internationale Beziehungen und Mobilitätsprogramme","keywords":"Sensitivity (control systems); Hemodynamics; Thrombus; Computer science; Cardiology; Medicine; Engineering; Electronic engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001566049,0.0011298,0.0009813921,0.0008854825,0.0006079632,0.001369086,0.0007286918,0.001707986,0.001499496],"category_scores_gemma":[0.004548164,0.0004455028,0.00156107,0.0003751249,0.0007378184,0.0005110275,0.001201741,0.001251729,0.0001154386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001011833,"about_ca_system_score_gemma":0.0009925006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01276743,"about_ca_topic_score_gemma":0.003291563,"domain_scores_codex":[0.9993067,0.0003679819,0.00002495754,0.00008853668,0.0001062815,0.0001055749],"domain_scores_gemma":[0.9966689,0.002733484,0.0001957664,0.00008590395,0.0002690328,0.00004690094],"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":[0.00002318815,0.00001200729,0.000451857,0.00002126979,0.00001739213,0.00006042506,0.00001524292,0.9971611,0.0005622728,0.0009619661,0.00005185477,0.0006613599],"study_design_scores_gemma":[0.00000315018,0.00002120837,0.0002080677,0.000004383655,0.000009877192,0.00001173924,0.00001012617,0.9988998,0.0002562356,0.0004927539,0.0000775208,0.000005023556],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5046765,0.001410324,0.4716825,0.001219004,0.0001073476,0.000222079,0.0008713338,0.0004315411,0.01937957],"genre_scores_gemma":[0.9929877,0.0001949013,0.005157416,0.00004445648,0.00001230044,0.00008312291,0.0001407588,0.00002071998,0.001358665],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01276743,"threshold_uncertainty_score":0.02538621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01528767612569295,"score_gpt":0.2467587785677379,"score_spread":0.2314711024420449,"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."}}