{"id":"W6884633900","doi":"10.1109/access.2024.3517143","title":"Exploring Variational Methods in Hydro- and Hemodynamics Through Incompressible Velocity Distribution Sampling","year":2024,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Blood properties and coagulation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Helmholtz free energy; Parameterized complexity; Minification; Compressibility; Range (aeronautics); Boundary (topology); Boundary value problem; Distribution (mathematics); Flow (mathematics); Variational method","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002757519,0.0007319807,0.0007108648,0.0007716953,0.0004248348,0.001156716,0.001224863,0.001061871,0.0007941747],"category_scores_gemma":[0.005785173,0.0006787504,0.0006383915,0.0005106415,0.001430069,0.001258482,0.001602614,0.001168466,0.0001778908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000884533,"about_ca_system_score_gemma":0.001436842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006242552,"about_ca_topic_score_gemma":0.005240795,"domain_scores_codex":[0.999413,0.0003354128,0.00001974002,0.0000633668,0.0001354426,0.00003296832],"domain_scores_gemma":[0.9982452,0.001335788,0.000140314,0.00008862773,0.0001331316,0.00005685637],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004164401,0.00003983865,0.001194214,0.0001102376,0.00006384055,0.00006941196,0.0001060967,0.8715832,0.003010732,0.07952798,0.0006544757,0.04359832],"study_design_scores_gemma":[0.00000222215,0.000005459469,0.00004867824,0.000004331814,0.0000015107,0.00000517301,0.000003197072,0.9913548,0.0001948047,0.008089055,0.0002881843,0.000002657963],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005613551,0.0002512704,0.9932278,0.000162679,0.00001692752,0.00001687961,0.0000132639,0.00005845531,0.0006392447],"genre_scores_gemma":[0.4040628,0.001234408,0.5891036,0.0002256119,0.000160549,0.0002680891,0.0001300364,0.0002172166,0.00459766],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006242552,"threshold_uncertainty_score":0.01458335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5465072177861231,"score_gpt":0.5971374302810416,"score_spread":0.0506302124949185,"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."}}