{"id":"W3194256638","doi":"10.1016/j.biomaterials.2021.121085","title":"Nanoparticle shell structural cues drive in vitro transport properties, tissue distribution and brain accessibility in zebrafish","year":2021,"lang":"en","type":"article","venue":"Biomaterials","topic":"Zebrafish Biomedical Research Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canada First Research Excellence Fund; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation; Arthritis Society","keywords":"Nanocarriers; Biodistribution; Materials science; Phosphorylcholine; Biophysics; PEG ratio; In vivo; Nanoparticle; Protein adsorption; Coating; Polyethylene glycol; Surface modification; Blood–brain barrier; Nanotechnology; Context (archaeology); Polymer; In vitro; Chemistry; Biochemistry; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.0003466323,0.0001150762,0.0001784251,0.00002692689,0.00004152126,0.00005023777,0.0001353965,0.000136068,0.00005089034],"category_scores_gemma":[0.0003183306,0.0001021122,0.000021487,0.0001624244,0.0001763575,0.00001433713,0.0001118326,0.00002028222,0.000004036711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003873793,"about_ca_system_score_gemma":0.0001303798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000159682,"about_ca_topic_score_gemma":0.0004217741,"domain_scores_codex":[0.9986599,0.0001551674,0.0003244465,0.0004264723,0.0001396167,0.0002944008],"domain_scores_gemma":[0.9995188,0.00001376715,0.00004123663,0.0002575668,0.00005614912,0.0001124648],"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":[0.0001395034,0.00006223567,0.005250355,0.00004408737,0.000006311983,0.00001431249,0.00004281421,1.905479e-7,0.9930295,0.00001349064,0.0001194231,0.001277787],"study_design_scores_gemma":[0.0004801266,0.00003875711,0.1608613,0.00001477391,0.000002340851,0.000006909484,0.00003137978,0.00001558875,0.8364748,0.0001429892,0.001828457,0.000102554],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978191,0.0003105363,0.00004091712,0.001127945,0.0000519569,0.0003244073,0.0002946909,0.00001266348,0.00001777685],"genre_scores_gemma":[0.9983214,0.00003632354,0.0001521806,0.0001077531,0.00006161047,0.00008752415,0.001172408,0.000010174,0.00005062271],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1565546,"threshold_uncertainty_score":0.4164014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01498506030312174,"score_gpt":0.2940401189667374,"score_spread":0.2790550586636156,"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."}}