{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002515796,0.0001744893,0.000220903,0.00004831026,0.0002790625,0.0001129571,0.00009265175,0.0001681645,0.000005629884],"category_scores_gemma":[0.00004699581,0.0001699492,0.00002396876,0.00007963767,0.0001040433,0.00001935279,0.00007614883,0.00005058348,0.000007008376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003163794,"about_ca_system_score_gemma":0.00009888691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006005598,"about_ca_topic_score_gemma":0.0000686403,"domain_scores_codex":[0.998673,0.00005550624,0.0003593516,0.0005737118,0.00006842103,0.0002700427],"domain_scores_gemma":[0.9994025,0.00002947625,0.00007425609,0.0003131364,0.00009031145,0.00009032545],"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":[0.00002949237,0.00001030277,0.00001923289,0.0004063295,0.00001803241,2.989428e-7,0.00005873062,0.00003324344,0.9739895,0.001016281,0.00002765154,0.02439089],"study_design_scores_gemma":[0.0002003403,0.0001322802,0.00008079541,0.00006913266,0.00002033767,0.00002638345,0.00003692872,0.0003230358,0.932279,0.00144875,0.06517515,0.0002078593],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.957548,0.008011147,0.03015564,0.002297565,0.0001192615,0.001515073,0.0002566822,0.00008091275,0.00001566914],"genre_scores_gemma":[0.986403,0.00196733,0.008487476,0.0002955358,0.0002847438,0.001768443,0.0004952743,0.00005565636,0.0002424861],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0651475,"threshold_uncertainty_score":0.6930326,"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."}}