{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002566674,0.0001239667,0.0001589325,0.00008453375,0.0002354178,0.00002863914,0.000188345,0.00005092389,0.001059891],"category_scores_gemma":[0.00001730846,0.0001206164,0.00002549143,0.0002188384,0.00007038723,0.0001767744,0.0002249161,0.00008565322,0.00004179398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006846798,"about_ca_system_score_gemma":0.00004561081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003933529,"about_ca_topic_score_gemma":0.00004512618,"domain_scores_codex":[0.9986789,0.0001433361,0.0002453883,0.0002960441,0.0004098707,0.0002264481],"domain_scores_gemma":[0.9994048,0.00006387326,0.0001432865,0.000270759,0.0000411063,0.00007621611],"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":[0.0000699231,0.0001153213,0.0004577497,0.00002486852,0.000001445247,0.000007765074,0.0007777725,0.0003102671,0.9955019,0.00003388755,0.0002604963,0.002438578],"study_design_scores_gemma":[0.000595739,0.0002171304,0.0006557943,0.000007312441,0.00002190438,0.00001255998,0.0004447462,0.0007528107,0.9964307,0.00005646553,0.0006656478,0.0001392003],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973348,0.001067902,0.0005198645,0.0001506433,0.0003718653,0.000218153,0.00002365339,0.00004102672,0.0002720485],"genre_scores_gemma":[0.9989253,0.00001857932,0.0003203036,0.0001405338,0.00003387582,0.00001968242,0.0000177797,0.00001765708,0.0005062558],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002299377,"threshold_uncertainty_score":0.9998533,"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."}}