{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001308723,0.0003762713,0.0001063123,0.0002079689,0.0001149221,0.0001994199,0.0001445784,0.000340983,0.0009583188],"category_scores_gemma":[0.0000863957,0.0001345327,0.0001345791,0.0001302624,0.0001306967,0.0002809571,0.0001633091,0.0002934861,0.0003122736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001663269,"about_ca_system_score_gemma":0.0001376997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007717311,"about_ca_topic_score_gemma":0.000181366,"domain_scores_codex":[0.9999468,0.000006425671,0.000004273045,0.00001293947,0.00002014379,0.000009342005],"domain_scores_gemma":[0.9999504,0.000007883984,0.00001606015,0.00000337148,0.00000545224,0.00001678928],"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":[0.00001154834,0.000008130691,0.00002935778,0.00004218137,0.000001604634,0.00004305108,0.000003758792,0.00004931582,0.9976495,0.00006635549,0.00003366528,0.00206156],"study_design_scores_gemma":[0.000008449902,0.0001350412,0.0007044541,0.00000657149,0.000006776523,0.0003802728,0.000005048877,0.000483738,0.9932365,0.00004175657,0.004985731,0.000005815835],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9318255,0.01437721,0.04483533,0.0004884269,0.000243309,0.0001687057,0.0006829909,0.0004186244,0.006959979],"genre_scores_gemma":[0.9577326,0.004492292,0.0296401,0.000242769,0.00005393439,0.00007933628,0.0004891987,0.00004123597,0.007228623],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009583188,"threshold_uncertainty_score":0.003205895,"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."}}