{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002181037,0.0002862039,0.0001338512,0.0001720955,0.000134249,0.0002299753,0.0001967005,0.0002923002,0.0008269835],"category_scores_gemma":[0.0002327574,0.000113286,0.000187614,0.0000822084,0.000150414,0.0003150979,0.0001298478,0.0002523019,0.0002211314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002203589,"about_ca_system_score_gemma":0.0002008139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004847019,"about_ca_topic_score_gemma":0.001654709,"domain_scores_codex":[0.9999321,0.000009090874,0.000005055637,0.00002074419,0.00001887368,0.00001431131],"domain_scores_gemma":[0.9998764,0.000032163,0.00004105793,0.000009309703,0.00001616691,0.00002489102],"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":[0.00001980553,0.00001367508,0.00004564884,0.00002483411,0.000002631453,0.00003459386,0.000008223333,0.0001399741,0.9985898,0.00008114157,0.00003506743,0.001004623],"study_design_scores_gemma":[0.000005302546,0.0001083172,0.0003655386,0.00000394157,0.000006616866,0.0000720203,0.000008285695,0.001585332,0.9970065,0.0000266309,0.0008060278,0.000005488583],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9569994,0.001912344,0.03620807,0.0002823597,0.0001005603,0.0001469696,0.0004767023,0.0002492893,0.003624463],"genre_scores_gemma":[0.9740739,0.0006849064,0.02248963,0.0001048187,0.00001505386,0.00006215959,0.0002035929,0.00005486491,0.002310953],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008269835,"threshold_uncertainty_score":0.00276655,"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."}}