{"id":"W4294293444","doi":"10.3390/pharmaceutics14091831","title":"PEG Conjugated Zein Nanoparticles for In Vivo Use","year":2022,"lang":"en","type":"article","venue":"Pharmaceutics","topic":"Nanoparticle-Based Drug Delivery","field":"Materials Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Innovation Council; University of British Columbia","funders":"Canadian Institutes of Health Research; BC Cancer Foundation; University of British Columbia; NanoMedicines Innovation Network","keywords":"PEG ratio; Polyethylene glycol; In vivo; Chemistry; Conjugated system; Nanoparticle; Biophysics; PEGylation; Pharmacokinetics; Biochemistry; Pharmacology; Organic chemistry; Nanotechnology; Polymer; Materials science; Biology; Biotechnology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008176456,0.0001532126,0.0001946399,0.0001070748,0.0002525196,0.0000905332,0.0003140743,0.00002625711,0.001719551],"category_scores_gemma":[0.0001271734,0.0001683278,0.00005663192,0.0003531386,0.0000823173,0.0002985322,0.0002274205,0.0001522496,0.00009341567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001872401,"about_ca_system_score_gemma":0.0001043235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006862446,"about_ca_topic_score_gemma":0.00002662331,"domain_scores_codex":[0.9981616,0.000227457,0.0003764164,0.0003431459,0.0003348173,0.0005566056],"domain_scores_gemma":[0.9990679,0.0003741374,0.00009701859,0.0002609821,0.00006754696,0.0001324122],"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":[0.0003417467,0.0002792906,0.001634668,0.00002162091,0.000005653201,0.00003447512,0.0003753394,0.00695532,0.987074,0.0004577535,0.00258446,0.0002356663],"study_design_scores_gemma":[0.001912363,0.00008882038,0.00006754652,0.000004979676,0.00003024514,0.00000942321,0.0001859211,0.0211462,0.9251264,0.0001963892,0.05102275,0.0002089317],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972849,0.000177306,0.00007690099,0.0006349339,0.0007094992,0.0006033145,0.0003184295,0.0001479278,0.00004672908],"genre_scores_gemma":[0.9970298,0.00001228584,0.000826151,0.001452485,0.0000505875,0.0002764409,0.000008713732,0.00003473098,0.0003088395],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06194758,"threshold_uncertainty_score":0.999193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07050132323855292,"score_gpt":0.326724523835274,"score_spread":0.256223200596721,"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."}}