{"id":"W4375856092","doi":"10.1016/j.jconrel.2023.05.004","title":"Fluid flow influences ultrasound-assisted endothelial membrane permeabilization and calcium flux","year":2023,"lang":"en","type":"article","venue":"Journal of Controlled Release","topic":"Ultrasound and Hyperthermia Applications","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"Canadian Aeronautics and Space Institute; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Heart and Stroke Foundation of Canada; Burroughs Wellcome Fund","keywords":"Microbubbles; Ultrasound; Propidium iodide; Permeability (electromagnetism); Biophysics; Sonoporation; Endothelial stem cell; Intracellular; Chemistry; Membrane permeability; Membrane; Biomedical engineering; Medicine; Biology; Apoptosis; Biochemistry; In vitro; Programmed cell death","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002874436,0.0001508691,0.0004087556,0.0002075525,0.0001141122,0.00007721427,0.0001269806,0.00008829339,0.0001097646],"category_scores_gemma":[0.000370352,0.0001161489,0.0001539536,0.0002997634,0.00005545315,0.0001853954,0.000006974607,0.0001869298,0.00004030326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003586689,"about_ca_system_score_gemma":0.00005947667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003610737,"about_ca_topic_score_gemma":0.000005046062,"domain_scores_codex":[0.9988911,0.00005234163,0.0005099421,0.0000992987,0.0002481037,0.0001992319],"domain_scores_gemma":[0.9989298,0.0005063656,0.0001180608,0.0001284153,0.0001575452,0.0001597933],"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":[0.00030504,0.00005086926,0.0005790411,0.00005796,0.000246413,0.00002517283,0.0003612294,0.04166532,0.9498388,0.0002433799,0.001143366,0.00548338],"study_design_scores_gemma":[0.09041005,0.001002883,0.07093778,0.0005863591,0.002332421,0.003028664,0.002430889,0.6469616,0.08082266,0.004402767,0.09478855,0.002295387],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949169,0.0008958178,0.002233787,0.0003172496,0.000337312,0.0002610515,0.00002557961,0.0001572974,0.0008549866],"genre_scores_gemma":[0.9980347,0.0008311696,0.0003406109,0.00006974645,0.0003590381,0.0000222338,0.000009901587,0.00002856058,0.0003041055],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8690162,"threshold_uncertainty_score":0.4736415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01172223414767302,"score_gpt":0.2340884514656708,"score_spread":0.2223662173179978,"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."}}