{"id":"W4308022358","doi":"10.1101/2022.10.31.514595","title":"Core material and surface chemistry of Layer-by-Layer (LbL) nanoparticles independently direct uptake, transport, and trafficking in preclinical blood-brain barrier (BBB) models","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Barrier Structure and Function Studies","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Ludwig Center for Molecular Oncology; Brain Tumour Charity; National Cancer Institute; Ludwig Center at Harvard; Cancer Research UK; Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology; Rally Foundation","keywords":"Nanoparticle; Blood–brain barrier; Nanotechnology; Drug delivery; Nanomaterials; Chemistry; In vivo; Biophysics; Materials science; Neuroscience; Biology; Central nervous system; Biotechnology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002623816,0.0003036078,0.0001362693,0.0001230465,0.000104653,0.0002013558,0.0001253988,0.0001949122,0.0004926428],"category_scores_gemma":[0.000268752,0.0001146054,0.0001389506,0.0001149952,0.0001620589,0.0001722287,0.0001632385,0.0002381951,0.0001985326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002208707,"about_ca_system_score_gemma":0.0001266914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009606531,"about_ca_topic_score_gemma":0.001265702,"domain_scores_codex":[0.9999056,0.00001889948,0.000009172073,0.00001864978,0.0000271593,0.00002044556],"domain_scores_gemma":[0.9998704,0.00003696134,0.00003917774,0.00001116244,0.00002562421,0.00001662563],"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":[0.00004189724,0.00001580241,0.0001374505,0.00001476837,0.00000316366,0.000007863016,0.00001125371,0.0001889668,0.9991395,0.0000173199,0.00001673425,0.0004051291],"study_design_scores_gemma":[0.000001989064,0.00007775062,0.0004975444,0.000001049479,0.00000388411,0.000008920585,0.000004758112,0.0009978195,0.9982769,0.00000603859,0.0001216228,0.000001567405],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966883,0.0002026434,0.002429798,0.00001773815,0.000005402611,0.00001510917,0.000132407,0.00003644595,0.0004721749],"genre_scores_gemma":[0.9939516,0.0002056526,0.004584382,0.00002243544,0.000002157098,0.00002328153,0.0001745188,0.00003442868,0.001001656],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009606531,"threshold_uncertainty_score":0.00191009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05122388679915348,"score_gpt":0.2620337107238302,"score_spread":0.2108098239246767,"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."}}