{"id":"W4311576467","doi":"10.1021/acsnano.2c10554","title":"Deep Tissue Penetration of Bottle-Brush Polymers via Cell Capture Evasion and Fast Diffusion","year":2022,"lang":"en","type":"article","venue":"ACS Nano","topic":"Nanoparticle-Based Drug Delivery","field":"Materials Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Institut National de la Recherche Scientifique","funders":"Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Canada Foundation for Innovation; Canada First Research Excellence Fund; Canada Research Chairs; H2020 Leadership in Enabling and Industrial Technologies; Government of Canada; Fonds de recherche du Québec – Nature et technologies; Armand-Frappier Foundation","keywords":"Paracellular transport; Extravasation; Blood–brain barrier; Biophysics; Transcellular; Transcytosis; Internalization; Nanocarriers; In vivo; Materials science; Penetration (warfare); Nanomedicine; Drug delivery to the brain; Drug delivery; Microvessel; In vitro; Nanotechnology; Chemistry; Permeability (electromagnetism); Endocytosis; Cell; Membrane; Nanoparticle; Biology; Pathology; Biochemistry; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000215121,0.000414294,0.0002349834,0.0001474952,0.0001397247,0.0003759827,0.0001748632,0.0004040341,0.0007697376],"category_scores_gemma":[0.0003200788,0.0001717639,0.0002435004,0.00008224895,0.0002170853,0.0005848873,0.0002990054,0.0004315326,0.0002765355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003261545,"about_ca_system_score_gemma":0.0003404378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001293426,"about_ca_topic_score_gemma":0.001788826,"domain_scores_codex":[0.999862,0.00002131746,0.000006446878,0.00003508988,0.00004511486,0.00003005303],"domain_scores_gemma":[0.9997976,0.0000769656,0.00005493443,0.00001638101,0.00003123896,0.00002288647],"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":[0.00003018963,0.00001072725,0.00007992758,0.00005149756,0.000003349018,0.00003101561,0.00001840891,0.00009999889,0.9972901,0.0001163773,0.00003975907,0.002228661],"study_design_scores_gemma":[0.000007416726,0.0002454314,0.001303275,0.000006572949,0.00001109467,0.0001342079,0.00002360088,0.002324807,0.9937337,0.00004828714,0.002151405,0.0000101201],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9695383,0.00424179,0.02283432,0.0001928477,0.00004844467,0.0001037562,0.0001097562,0.0001288947,0.002801974],"genre_scores_gemma":[0.985828,0.00172048,0.009171591,0.00007617117,0.00001359763,0.00006703778,0.00009138937,0.00002641604,0.003005246],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001293426,"threshold_uncertainty_score":0.00257504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005881444070820107,"score_gpt":0.2056789543403703,"score_spread":0.1997975102695501,"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."}}