{"id":"W1667567520","doi":"10.1002/adfm.201501489","title":"A Highly Elastic and Rapidly Crosslinkable Elastin‐Like Polypeptide‐Based Hydrogel for Biomedical Applications","year":2015,"lang":"en","type":"article","venue":"Advanced Functional Materials","topic":"Connective tissue disorders research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":265,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Institute of Dental and Craniofacial Research; National Institute of Biomedical Imaging and Bioengineering; National Institute of Arthritis and Musculoskeletal and Skin Diseases; National Institute of General Medical Sciences; National Heart, Lung, and Blood Institute; National Institutes of Health; National Institute of Allergy and Infectious Diseases; King Abdulaziz City for Science and Technology","keywords":"Self-healing hydrogels; Materials science; Biocompatibility; In vivo; Elastin; Swelling; Biophysics; Nanotechnology; Polymer chemistry; Composite material","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002349589,0.0001471757,0.0001622167,0.00006564707,0.0001268433,0.00003755559,0.00009917265,0.0001139404,0.00006551898],"category_scores_gemma":[0.000345548,0.0001440778,0.00003859882,0.00009943984,0.0001710675,0.000009056072,0.00007529452,0.00004169103,0.00003441549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002524109,"about_ca_system_score_gemma":0.0001981056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001014832,"about_ca_topic_score_gemma":0.000007497951,"domain_scores_codex":[0.9988823,0.0000324985,0.000211033,0.0004152955,0.0001856303,0.0002732535],"domain_scores_gemma":[0.9992059,0.00008857973,0.00006648963,0.0002089706,0.0002535922,0.0001764352],"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":[0.0008066059,0.00009486296,0.0001103153,0.00004003895,0.00003433529,5.852684e-7,0.000005847509,0.0002715868,0.9951401,0.0006004276,0.001679353,0.001215957],"study_design_scores_gemma":[0.005262755,0.001271644,0.0009442777,0.00002206693,0.00003517067,0.00002312363,0.00009284051,0.0002783168,0.6663376,0.004212356,0.3211036,0.0004162294],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7901365,0.0009061299,0.2063517,0.0004476079,0.0004762122,0.001039359,0.0004163457,0.00004532156,0.000180915],"genre_scores_gemma":[0.9919519,0.00001785337,0.004412347,0.0002248176,0.0003568493,0.001072383,0.001065504,0.00003289664,0.0008654207],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3288025,"threshold_uncertainty_score":0.5875321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02323406894136547,"score_gpt":0.2971030169798553,"score_spread":0.2738689480384898,"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."}}