{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004015279,0.00008104388,0.0002911333,0.0002720974,0.00006019363,0.00003710742,0.00008037373,0.00003149238,6.789818e-8],"category_scores_gemma":[0.0001837088,0.00005269676,0.00004238982,0.001365702,0.0001528367,0.00007577141,0.00005678284,0.0001214791,1.845997e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002108313,"about_ca_system_score_gemma":0.00003292392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008694026,"about_ca_topic_score_gemma":5.869538e-7,"domain_scores_codex":[0.9991143,0.000003153299,0.0001818072,0.0002036521,0.0003353345,0.0001617992],"domain_scores_gemma":[0.9993497,0.0001339752,0.00007557835,0.00004118204,0.0002493101,0.0001502716],"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":[0.001553606,0.0004873402,0.03143393,0.01183124,0.001373361,0.000007656423,0.001896247,0.1914507,0.6101869,0.1150231,0.0007415052,0.03401445],"study_design_scores_gemma":[0.0003342691,0.0001846035,0.007756013,0.0001592171,0.00009899995,0.000004230517,0.000003678625,0.9892374,0.002152947,0.000009810386,0.000006160715,0.00005271846],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9220926,0.0001206039,0.07638721,0.001011854,0.00004141072,0.0003032,0.000004434001,0.00002158102,0.00001711323],"genre_scores_gemma":[0.9989247,0.00001126783,0.0009438407,0.00007602895,0.00002051496,0.00000449518,3.988964e-7,0.000003917095,0.00001481017],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7977867,"threshold_uncertainty_score":0.2148911,"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."}}