{"id":"W4390410587","doi":"10.1002/btm2.10636","title":"Trafficking through the blood–brain barrier is directed by core and outer surface components of layer‐by‐layer nanoparticles","year":2023,"lang":"en","type":"article","venue":"Bioengineering & Translational Medicine","topic":"Barrier Structure and Function Studies","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; National Cancer Institute; Ludwig Center at Harvard; National Institutes of Health; Cancer Research UK; Cannonball Kids' cancer Foundation; Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology; National Heart, Lung, and Blood Institute; Rally Foundation","keywords":"Nanocarriers; Blood–brain barrier; Biophysics; Nanoparticle; Nanotechnology; Chemistry; Drug delivery; In vivo; Intracellular; Drug delivery to the brain; In vitro; Nanomaterials; Materials science; Biology; Neuroscience; Biochemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001332851,0.0001738275,0.0002273406,0.00004268585,0.0001606273,0.00001099752,0.0001127054,0.00005221011,0.00007057957],"category_scores_gemma":[0.0001064051,0.0001167943,0.00003756604,0.0004474092,0.0002542516,0.00009298303,0.00001896353,0.0001222475,0.000004455893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004365317,"about_ca_system_score_gemma":0.000007471344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002622728,"about_ca_topic_score_gemma":0.000001522473,"domain_scores_codex":[0.998799,0.00003241979,0.0002850712,0.0002721649,0.0003929237,0.0002184441],"domain_scores_gemma":[0.9991884,0.0005402844,0.00005375756,0.0001293781,0.00003577862,0.00005246705],"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":[0.00002252102,0.00001066859,0.0007202146,0.00002924543,0.00004028312,0.000002639377,0.002816795,0.0004212594,0.9841332,0.0002481119,0.01125552,0.0002995116],"study_design_scores_gemma":[0.002679946,0.0001850274,0.0198475,0.0001675735,0.0001583447,0.00003405856,0.0003189292,0.01861445,0.8463786,0.0003638255,0.1108407,0.0004110039],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9856383,0.001570644,0.0007848023,0.01095331,0.0003840379,0.0001800892,0.0001918112,0.0002023914,0.00009459385],"genre_scores_gemma":[0.9985543,0.0001332157,0.00009185767,0.000831164,0.00006368103,0.000007383054,0.00002459294,0.00002031713,0.0002734637],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1377546,"threshold_uncertainty_score":0.4762734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05743393279407873,"score_gpt":0.2763443328164282,"score_spread":0.2189104000223495,"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."}}