{"id":"W4295646145","doi":"10.1016/j.actbio.2022.09.020","title":"Macroporous dextran hydrogels for controlled growth factor capture and delivery using coiled-coil interactions","year":2022,"lang":"en","type":"article","venue":"Acta Biomaterialia","topic":"Hydrogels: synthesis, properties, applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Polytechnique Montréal; Université du Québec à Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Canada First Research Excellence Fund; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Polytechnique Montréal","keywords":"Self-healing hydrogels; Dextran; Materials science; Biomolecule; Controlled release; Nanotechnology; Chemical engineering; Biophysics; Chromatography; Chemistry; Polymer chemistry","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":[0.0001972339,0.0002524764,0.000138754,0.0001470587,0.0001218599,0.0002650591,0.0001191473,0.0002148787,0.0007051175],"category_scores_gemma":[0.0001361439,0.0001380637,0.0001029623,0.0001132477,0.0001893285,0.0003004714,0.0002193745,0.0002837527,0.0002431835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003444132,"about_ca_system_score_gemma":0.0001512685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004028764,"about_ca_topic_score_gemma":0.0009126237,"domain_scores_codex":[0.9998858,0.00001630566,0.000006861736,0.00002869751,0.00002749499,0.00003475902],"domain_scores_gemma":[0.9999031,0.00002822985,0.00002543764,0.000007726588,0.000009913852,0.00002561357],"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":[0.00002914613,0.000008543164,0.00003161566,0.00001745065,0.000001800175,0.00001591805,0.00001023352,0.0001038326,0.9984453,0.0001293314,0.00003795472,0.00116893],"study_design_scores_gemma":[0.000004386343,0.00003721745,0.0002868971,0.000001361846,0.000003127104,0.00002853893,0.000003997549,0.0006872466,0.998176,0.0000149321,0.0007530593,0.000003324968],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9752401,0.001781427,0.0202516,0.0001277998,0.00004669739,0.00004741119,0.0001973201,0.0001788236,0.00212887],"genre_scores_gemma":[0.9904656,0.0007677058,0.006909214,0.00005490178,0.00001332533,0.00003000499,0.00008869173,0.00002891532,0.001641599],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007051175,"threshold_uncertainty_score":0.002498865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02018187455772506,"score_gpt":0.2530123517144748,"score_spread":0.2328304771567497,"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."}}