{"id":"W3097214350","doi":"10.1039/d0bm01772h","title":"Bioinspired zwitterionic polyphosphoester modified porous silicon nanoparticles for efficient oral insulin delivery","year":2020,"lang":"en","type":"article","venue":"Biomaterials Science","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kensington Health","funders":"National Natural Science Foundation of China","keywords":"Schematic; Porous silicon; Nanoparticle; Mucus; Chemistry; Silicon; Biophysics; Nanotechnology; Materials science; Optoelectronics; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003335456,0.0001868618,0.0002103068,0.00005354647,0.0002247283,0.0001289799,0.0003471577,0.00009396714,0.000002020112],"category_scores_gemma":[0.00014247,0.0001513019,0.00008329834,0.0003068097,0.0004656881,0.00001084013,0.0001917655,0.00001412576,0.000006532856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002364751,"about_ca_system_score_gemma":0.0001176658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001891737,"about_ca_topic_score_gemma":0.000003774439,"domain_scores_codex":[0.9984366,0.00003491967,0.0003104112,0.0006315346,0.0001950106,0.0003915058],"domain_scores_gemma":[0.9992563,0.000007341371,0.0001354802,0.0002966014,0.0001452509,0.0001590993],"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":[0.0002257641,0.00004216582,0.00004072138,0.00001232406,0.000008410059,0.000001863271,0.00003158328,0.00003431187,0.9976786,0.00001998033,0.00008589583,0.001818413],"study_design_scores_gemma":[0.0003753309,0.0004241583,0.00036904,0.00001033201,0.00001836856,0.000006940775,0.00002920489,0.0009793914,0.9968916,0.00001422613,0.0006499481,0.0002315104],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975344,0.0001473915,0.001124946,0.000554361,0.0001618993,0.0003023304,0.00006643162,0.00009486854,0.00001335266],"genre_scores_gemma":[0.9923152,0.00002657889,0.006463147,0.0009810249,0.0001273441,0.00002090734,0.00003717515,0.00001653667,0.00001203776],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005338201,"threshold_uncertainty_score":0.6169912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0233907998449119,"score_gpt":0.2736517817139101,"score_spread":0.2502609818689982,"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."}}