{"id":"W4396213445","doi":"10.1002/adhm.202304397","title":"Injectable and Dynamically Crosslinked Zwitterionic Hydrogels for Anti‐Fouling and Tissue Regeneration Applications","year":2024,"lang":"en","type":"article","venue":"Advanced Healthcare Materials","topic":"Hydrogels: synthesis, properties, applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Centres of Excellence","keywords":"Self-healing hydrogels; Zwitterion; In vivo; Polymer; Tissue engineering; Materials science; Surface modification; Swelling; Regeneration (biology); Hydrazide; Chemistry; Biophysics; Chemical engineering; Biomedical engineering; Polymer chemistry; Organic chemistry; Molecule","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":[0.0002120731,0.0007106765,0.0001544837,0.0002983476,0.00009625768,0.0002218029,0.0002643538,0.0003421913,0.0009652684],"category_scores_gemma":[0.000117078,0.000200966,0.000201829,0.0001557,0.0001627642,0.0004809617,0.0002220769,0.0003324439,0.000294425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002508319,"about_ca_system_score_gemma":0.00022223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001978521,"about_ca_topic_score_gemma":0.0004510222,"domain_scores_codex":[0.9999214,0.000007644828,0.000007209216,0.00001341448,0.00003207038,0.00001826753],"domain_scores_gemma":[0.999897,0.00001397645,0.00004792084,0.00000652259,0.00001176493,0.00002272373],"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":[0.000009704739,0.000006403524,0.00001486397,0.00002488805,0.00000139712,0.00002271297,0.000004555322,0.00008449416,0.9983906,0.0000760363,0.0000195028,0.00134483],"study_design_scores_gemma":[0.000006388302,0.0001582699,0.0002254586,0.000004234996,0.000007220665,0.0001595026,0.000005560202,0.0007782843,0.9964306,0.00004458829,0.002173396,0.000006512381],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9096072,0.01200381,0.071678,0.0003438191,0.0001694463,0.0002281328,0.0005622087,0.0005998989,0.004807353],"genre_scores_gemma":[0.9484206,0.005481724,0.0397883,0.0002072238,0.00007439426,0.0001660617,0.0003887745,0.00008556816,0.005387322],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009652684,"threshold_uncertainty_score":0.003229141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01475465502760956,"score_gpt":0.3047669199063382,"score_spread":0.2900122648787287,"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."}}