{"id":"W4404063296","doi":"10.1039/d4ra06197g","title":"Macroporous chitosan/alginate hydrogels crosslinked with genipin accumulate and retain glioblastoma cancer cells","year":2024,"lang":"en","type":"article","venue":"RSC Advances","topic":"Hydrogels: synthesis, properties, applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; Polytechnique Montréal","funders":"Institut TransMedTech; Fonds de recherche du Québec – Nature et technologies; Canada First Research Excellence Fund; Polytechnique Montréal","keywords":"Genipin; Chitosan; Self-healing hydrogels; Homogeneous; Sodium alginate; Chemical engineering; Glioblastoma; Chemistry; Materials science; Polymer chemistry; Sodium; Organic chemistry; Cancer research; Biology","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":[0.00008514653,0.0003378544,0.0001088411,0.0001682942,0.00008823827,0.0001747545,0.00009586289,0.0001871321,0.0004762287],"category_scores_gemma":[0.00006874412,0.0001024475,0.0001401293,0.0000951644,0.0001225876,0.0001934213,0.0001506333,0.0002237694,0.0001315024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001948847,"about_ca_system_score_gemma":0.0001710718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008969564,"about_ca_topic_score_gemma":0.001815285,"domain_scores_codex":[0.9999547,0.000003515978,0.000003035481,0.00001174689,0.00001186644,0.00001516541],"domain_scores_gemma":[0.9999256,0.00001177893,0.00002945775,0.00000678871,0.000007580348,0.00001877776],"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":[0.00001393699,0.000004014267,0.00004421107,0.00001383359,0.000001405826,0.00001162564,0.000007258107,0.00004551254,0.9992028,0.00002004968,0.00001117834,0.0006241185],"study_design_scores_gemma":[0.000003424364,0.00008852488,0.00118163,0.000004359986,0.000008391136,0.00004207091,0.000008057795,0.0002579073,0.9974359,0.000009888098,0.0009567231,0.000003062094],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935207,0.001373295,0.003570475,0.00006524869,0.00002524388,0.00002683671,0.0001929665,0.00008783856,0.001137496],"genre_scores_gemma":[0.9933502,0.0009020281,0.003547588,0.00005029777,0.000008008978,0.00002526799,0.000132164,0.00002700083,0.001957258],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008969564,"threshold_uncertainty_score":0.001783431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009695856989216154,"score_gpt":0.2682532644879466,"score_spread":0.2585574074987305,"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."}}