{"id":"W2028340706","doi":"10.1007/s10856-010-4185-3","title":"Crosslinking of gelatin-based drug carriers by genipin induces changes in drug kinetic profiles in vitro","year":2010,"lang":"en","type":"article","venue":"Journal of Materials Science Materials in Medicine","topic":"Hydrogels: synthesis, properties, applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":69,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Genipin; Self-healing hydrogels; Swelling; Biocompatibility; Gelatin; Chemistry; HaCaT; Viability assay; Drug carrier; Kinetics; In vitro; Materials science; Chemical engineering; Biophysics; Polymer chemistry; Drug delivery; Organic chemistry; Biochemistry; Composite material; Chitosan","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000228921,0.0004025153,0.0001923808,0.0001716789,0.00008644572,0.0002597522,0.000143042,0.0002107574,0.0009966338],"category_scores_gemma":[0.0003079118,0.0002339359,0.0002374493,0.0001317713,0.0002735278,0.0004021859,0.0001490156,0.0004615489,0.0003085604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003524673,"about_ca_system_score_gemma":0.0002126873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008170799,"about_ca_topic_score_gemma":0.0009634684,"domain_scores_codex":[0.9998912,0.00002015905,0.000009582081,0.00002768601,0.00001576226,0.00003575156],"domain_scores_gemma":[0.9996729,0.0001360334,0.0000873643,0.00003631294,0.00001698642,0.00005034183],"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":[0.000109296,0.00001301007,0.00004928446,0.000008574095,0.000003012277,0.00001228843,0.000009792185,0.00005328234,0.9994243,0.000023669,0.000007373808,0.0002861191],"study_design_scores_gemma":[0.000004747305,0.000100866,0.0006172233,0.000001505849,0.000006032024,0.00002461393,0.000004377812,0.0003333079,0.998743,0.000006762618,0.0001552067,0.000002234258],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957854,0.0006507339,0.002429232,0.00003922542,0.00001671842,0.00001716242,0.0001516673,0.00005343501,0.0008563208],"genre_scores_gemma":[0.9977568,0.0002676251,0.0009747036,0.00002056642,0.000004362841,0.00001129089,0.0001463919,0.00003354634,0.0007846392],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009966338,"threshold_uncertainty_score":0.003334045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01331184880449448,"score_gpt":0.2716822970718895,"score_spread":0.258370448267395,"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."}}