{"id":"W3115953273","doi":"10.1016/j.jconrel.2020.12.050","title":"In situ-gelling starch nanoparticle (SNP)/O-carboxymethyl chitosan (CMCh) nanoparticle network hydrogels for the intranasal delivery of an antipsychotic peptide","year":2020,"lang":"en","type":"article","venue":"Journal of Controlled Release","topic":"Advanced Drug Delivery Systems","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":72,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Nasal administration; Self-healing hydrogels; Pharmacology; Drug delivery; Chitosan; Bioavailability; Antipsychotic; Chemistry; Drug; Oral administration; Schizophrenia (object-oriented programming); Medicine; Biochemistry; Organic chemistry","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":[0.00204553,0.0002864838,0.001076131,0.0001166915,0.0002193391,0.00002985224,0.000560942,0.0001944923,0.00007827194],"category_scores_gemma":[0.0004697439,0.0002112904,0.0004065105,0.0004771174,0.0002000946,0.0004281676,0.00004370501,0.0009569264,0.000007974827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004679029,"about_ca_system_score_gemma":0.0002309706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001150808,"about_ca_topic_score_gemma":0.00003041273,"domain_scores_codex":[0.9957723,0.001209796,0.001702518,0.0002826221,0.0003757402,0.0006570218],"domain_scores_gemma":[0.9952894,0.002674473,0.001029906,0.000237487,0.0002628053,0.0005059491],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.03912209,0.0004433352,0.001229066,0.00006261852,0.0005246533,0.0001682148,0.001249317,0.3446401,0.6084043,0.0001363399,0.0005061114,0.003513796],"study_design_scores_gemma":[0.05941782,0.003322203,0.0002841392,0.0001257203,0.001077072,0.0001050059,0.001134634,0.5728545,0.3501745,0.0006951568,0.01034367,0.0004655783],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9844804,0.007076436,0.002251421,0.003683399,0.001136731,0.001278157,0.00001852404,0.00002147404,0.00005341407],"genre_scores_gemma":[0.9948759,0.0006957172,0.0006674663,0.002377024,0.001287462,0.00003409848,0.000001600305,0.00004429245,0.00001640609],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2582299,"threshold_uncertainty_score":0.8616174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07719714612754343,"score_gpt":0.3871019082349043,"score_spread":0.3099047621073608,"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."}}