{"id":"W2052510018","doi":"10.1155/2009/617184","title":"Genipin Cross-Linked Polymeric Alginate-Chitosan Microcapsules for Oral Delivery: In-Vitro Analysis","year":2009,"lang":"en","type":"article","venue":"International Journal of Polymer Science","topic":"Advanced Drug Delivery Systems","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research; Fonds Québécois de la Recherche sur la Nature et les Technologies; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Genipin; Chitosan; Materials science; Bovine serum albumin; Swelling; Membrane; Chemical engineering; Calcium alginate; Polymer chemistry; Chemistry; Calcium; Composite material; Chromatography; 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":[0.0004354444,0.0005335634,0.0004479281,0.0002164371,0.0001782524,0.00024179,0.0001996516,0.0003619924,0.0005334273],"category_scores_gemma":[0.0002336187,0.0002060292,0.0003155323,0.000158319,0.0002327598,0.0002421973,0.0001356007,0.0003346775,0.0001886601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003907121,"about_ca_system_score_gemma":0.0003058953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00133628,"about_ca_topic_score_gemma":0.002201905,"domain_scores_codex":[0.9998204,0.00004191867,0.00001522279,0.00003057969,0.00005923094,0.00003264596],"domain_scores_gemma":[0.9998575,0.00005702816,0.00003242287,0.00001182002,0.00002535481,0.00001580783],"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":[0.00003597814,0.00001682721,0.00005013669,0.00008489336,0.000004882765,0.00002536819,0.00001306263,0.000130724,0.9982548,0.00001928668,0.00001038866,0.001353688],"study_design_scores_gemma":[0.000005298564,0.0002707401,0.0008752671,0.00000611683,0.00002841243,0.00007185668,0.000006960595,0.0005424464,0.9974326,0.00001176798,0.0007436323,0.000004751415],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9688612,0.01247624,0.01676061,0.0001219512,0.00005711076,0.0001739549,0.0003165236,0.00009005458,0.001142541],"genre_scores_gemma":[0.9758818,0.005601426,0.01642413,0.00005347604,0.0000267191,0.0001364425,0.0002655967,0.00003169886,0.001578659],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00133628,"threshold_uncertainty_score":0.002834797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06276971362263604,"score_gpt":0.466325345995786,"score_spread":0.40355563237315,"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."}}