{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001065396,0.0002060525,0.0004000091,0.001391784,0.0001837946,0.0001206168,0.001544479,0.0001231876,0.00009375399],"category_scores_gemma":[0.0001512546,0.0001902182,0.0003143984,0.001194603,0.0005088286,0.0008575413,0.00007937141,0.0004273234,0.00001110301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001962535,"about_ca_system_score_gemma":0.0003517309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004381839,"about_ca_topic_score_gemma":0.000006931853,"domain_scores_codex":[0.9975469,0.0001289378,0.0008396095,0.0003367188,0.000658677,0.0004891864],"domain_scores_gemma":[0.9981407,0.000225457,0.0006519149,0.0001546984,0.0005733323,0.0002539041],"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":[0.0009661956,0.0002200915,0.00802791,0.000002444327,0.0003378883,0.00008651466,0.0004514556,0.002011511,0.9359282,0.0003566803,0.00006874597,0.05154238],"study_design_scores_gemma":[0.002192638,0.0001694496,0.01821834,0.00001478311,0.0001886438,0.0001693334,0.0001424372,0.01199788,0.9645239,0.0002306017,0.00190602,0.0002459576],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9842972,0.003710223,0.006955304,0.00159369,0.002879504,0.0001500891,0.00007518158,0.00001867423,0.0003201663],"genre_scores_gemma":[0.9962714,0.00008481624,0.001331009,0.001702871,0.0003902278,0.000004738396,0.000008546964,0.000009652733,0.0001967228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05129642,"threshold_uncertainty_score":0.7756875,"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."}}