{"id":"W4307930602","doi":"10.1021/acs.molpharmaceut.2c00564","title":"Nanoparticle-Reinforced Tough Hydrogel as a Versatile Platform for Pharmaceutical Drug Delivery: Preparation and <i>in Vitro</i> Characterization","year":2022,"lang":"en","type":"article","venue":"Molecular Pharmaceutics","topic":"Hydrogels: synthesis, properties, applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Western University; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canada Research Coordinating Committee; Government of Ontario","keywords":"Self-healing hydrogels; Drug delivery; Gelatin; Methacrylate; Drug; Nanocomposite; Materials science; Nanoparticle; Polymer; In vitro; Nanotechnology; Chemistry; Biomedical engineering; Polymer chemistry; Monomer; Pharmacology; Composite material; Organic chemistry; Biochemistry","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003715689,0.000230321,0.0001894496,0.0000823306,0.0002749581,0.00004413232,0.0002329025,0.0000798191,0.00004275611],"category_scores_gemma":[0.00004186149,0.0002735231,0.00009148198,0.0001923728,0.00008039543,0.00002112804,0.0002682442,0.0001669265,0.00001115566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009620148,"about_ca_system_score_gemma":0.000132254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001353662,"about_ca_topic_score_gemma":0.000002913976,"domain_scores_codex":[0.9983588,0.00008525682,0.0003695459,0.0004957406,0.0002557937,0.0004348624],"domain_scores_gemma":[0.9993349,0.00002344407,0.0001194928,0.0003212155,0.00006584294,0.0001350789],"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":[0.001152899,0.00009998539,0.00003188435,0.00003247926,0.00006035203,0.000005660853,0.0002608009,0.001580038,0.9945287,0.0001505793,0.00006652992,0.002030134],"study_design_scores_gemma":[0.001476949,0.0001025858,0.000005166791,0.000003638583,0.00007585133,0.00002787601,0.00008845721,0.07523157,0.8546535,0.00009352253,0.0679714,0.0002694787],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960435,0.0004797455,0.001269237,0.0004628323,0.00009283174,0.001276524,0.0001852542,0.00003594944,0.0001540969],"genre_scores_gemma":[0.9948166,0.000144124,0.0004438077,0.00203743,0.00005894609,0.001118766,0.001074507,0.00005732175,0.0002485006],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1398752,"threshold_uncertainty_score":0.9999717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02011730385865435,"score_gpt":0.2869899774297522,"score_spread":0.2668726735710979,"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."}}