{"id":"W4411011775","doi":"10.1115/dmd2025-1095","title":"Bench-to-bedside: Use of particle image velocimetry to assess iterative development of cerebral bifurcation flow diverter and its proof of principle","year":2025,"lang":"en","type":"article","venue":"","topic":"Cerebrospinal fluid and hydrocephalus","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Particle image velocimetry; Bifurcation; Proof of concept; Flow (mathematics); Development (topology); Computer science; Mechanics; Physics; Mathematics; Mathematical analysis","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":[0.002178598,0.0005115733,0.0003350516,0.0005639034,0.0003851791,0.001009976,0.0004695887,0.0006877565,0.001907137],"category_scores_gemma":[0.002059984,0.000266409,0.0002801116,0.0001954705,0.0006942641,0.0005109636,0.0005673597,0.0009325916,0.0003570583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004440998,"about_ca_system_score_gemma":0.0008647026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006555329,"about_ca_topic_score_gemma":0.0006761196,"domain_scores_codex":[0.9993984,0.0001375818,0.00004005685,0.000118669,0.0002548327,0.00005057183],"domain_scores_gemma":[0.9991558,0.000355725,0.000138934,0.0001041378,0.0001907054,0.00005476884],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007097551,0.0006393327,0.0095899,0.0002299321,0.00005792822,0.0001714027,0.0002870529,0.004946372,0.9167628,0.001772583,0.0008284136,0.0640045],"study_design_scores_gemma":[0.00009147611,0.005065118,0.01379835,0.00003543136,0.00007324449,0.0003261005,0.0001358525,0.06870863,0.9075595,0.0005869006,0.003540779,0.000078515],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6219574,0.001064717,0.368894,0.0002615477,0.0002353285,0.000804714,0.0003058302,0.001828793,0.004647759],"genre_scores_gemma":[0.7401337,0.000539077,0.2569627,0.0001182841,0.00003512295,0.000477526,0.0001843369,0.0001050029,0.001444247],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002178598,"threshold_uncertainty_score":0.01152164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05945017953850623,"score_gpt":0.320641280734938,"score_spread":0.2611911011964318,"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."}}