{"id":"W4385187533","doi":"10.3389/fddev.2023.1227776","title":"Impact of simulated brain interstitial fluid flow on the chemokine CXCL12 release from an alginate-based hydrogel in a new 3D in vitro model","year":2023,"lang":"en","type":"article","venue":"Frontiers in Drug Delivery","topic":"Nanoparticle-Based Drug Delivery","field":"Materials Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; Centre Hospitalier Universitaire de Sherbrooke; Université de Sherbrooke","funders":"Fonds de recherche du Québec – Nature et technologies; Canada Research Coordinating Committee","keywords":"Self-healing hydrogels; Drug delivery; Context (archaeology); Chemokine; Interstitial fluid; In vitro; Chemistry; Biophysics; Controlled release; Cell biology; Materials science; Nanotechnology; Biology; Receptor; Medicine; Pathology; Biochemistry","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001254693,0.0004376838,0.0006939457,0.0009347668,0.0000601404,0.0000665375,0.0008557062,0.0001914892,0.0001400648],"category_scores_gemma":[0.0004322476,0.0003761089,0.0001980022,0.001506052,0.0002186255,0.0005030626,0.0001751344,0.000438528,0.00009266546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008637892,"about_ca_system_score_gemma":0.0008184296,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009213991,"about_ca_topic_score_gemma":0.0005391676,"domain_scores_codex":[0.9963921,0.000438745,0.00085829,0.0008082321,0.0005891041,0.0009134998],"domain_scores_gemma":[0.9979888,0.000565609,0.0001987481,0.0009220481,0.00007338572,0.0002513881],"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":[0.003211063,0.0003271695,0.001948184,0.00001193072,0.00001383745,0.0001463782,0.0009173211,0.5547917,0.4296568,0.000002534108,0.007717025,0.001256046],"study_design_scores_gemma":[0.003036334,0.0001186526,0.0008425565,0.0001542203,0.00001332624,3.66472e-7,0.0001782455,0.7002252,0.2945874,0.0005563694,0.000008369385,0.0002789034],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960582,0.0001652642,0.001316499,0.0007737999,0.0004961556,0.0006374795,0.0003737368,0.000148463,0.00003040399],"genre_scores_gemma":[0.99638,0.00001685764,0.002610231,0.0005890683,0.00006899304,0.00002521162,0.0001791087,0.00006911725,0.00006135679],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1454336,"threshold_uncertainty_score":0.9998691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01211896077407521,"score_gpt":0.2493969952579654,"score_spread":0.2372780344838902,"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."}}