{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002238501,0.0002265106,0.0001252404,0.0001254449,0.0001563002,0.0003298214,0.0001408204,0.0003277177,0.0007894333],"category_scores_gemma":[0.000278607,0.0001995645,0.0001405582,0.00006720052,0.0002124767,0.0002517932,0.0001656461,0.0002839513,0.0002145579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000579401,"about_ca_system_score_gemma":0.0003400714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001896123,"about_ca_topic_score_gemma":0.004426171,"domain_scores_codex":[0.9999105,0.00001068175,0.000005724578,0.00002029081,0.0000278096,0.00002509399],"domain_scores_gemma":[0.9998369,0.00004222599,0.0000586185,0.00001071664,0.00002753012,0.00002394318],"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":[0.00001480308,0.000003613776,0.00003324311,0.00000697058,7.976805e-7,0.000006268866,0.000005915352,0.00004600535,0.9996364,0.0000371979,0.00001147632,0.0001972551],"study_design_scores_gemma":[0.000004246464,0.00005620403,0.000983357,0.000003189591,0.000006626803,0.00001923535,0.00001608696,0.0009476913,0.9973894,0.00002174856,0.0005484407,0.000003715733],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960648,0.00032395,0.002166442,0.00006377318,0.00001427704,0.00001325558,0.00009097217,0.00003954314,0.001222993],"genre_scores_gemma":[0.9944714,0.0002932395,0.002119181,0.00003918714,0.000003670055,0.00002036217,0.00007665976,0.0000395902,0.002936683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001896123,"threshold_uncertainty_score":0.004203856,"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."}}