{"id":"W2118614307","doi":"10.1089/ten.tea.2010.0666","title":"Synthesis and Characterization of Tunable Poly(Ethylene Glycol): Gelatin Methacrylate Composite Hydrogels","year":2011,"lang":"en","type":"article","venue":"Tissue Engineering Part A","topic":"Hydrogels: synthesis, properties, applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":306,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Engineer Research and Development Center; Division of Materials Research; National Institute of Biomedical Imaging and Bioengineering; National Institute of Arthritis and Musculoskeletal and Skin Diseases; National Institute of Dental and Craniofacial Research; Office of Naval Research; National Heart, Lung, and Blood Institute; Construction Engineering Research Laboratory; National Institutes of Health; National Science Foundation","keywords":"Gelatin; Self-healing hydrogels; Ethylene glycol; Methacrylate; Polymer chemistry; Composite number; Characterization (materials science); Materials science; Chemical engineering; Chemistry; Biomedical engineering; Nanotechnology; Composite material; Polymerization; Polymer; Organic chemistry; Medicine","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":[0.0003393136,0.0004359943,0.0001625647,0.0003471927,0.0001192393,0.000198011,0.0002079025,0.0002472055,0.0008129056],"category_scores_gemma":[0.0004280921,0.0001664267,0.0001693727,0.0001957353,0.000174728,0.0002578569,0.0001175961,0.0003145081,0.0002672847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002031085,"about_ca_system_score_gemma":0.0001434667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002497497,"about_ca_topic_score_gemma":0.000430818,"domain_scores_codex":[0.9998565,0.00001377641,0.00001917009,0.00004117498,0.00005060805,0.0000186971],"domain_scores_gemma":[0.9996878,0.00009283042,0.00008967554,0.00002693452,0.00005180478,0.00005106197],"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":[0.00001205264,0.00001144827,0.00004147454,0.00002007153,0.000001123238,0.00001897927,0.000007135344,0.0001275506,0.9989026,0.00001882331,0.000009882177,0.0008290192],"study_design_scores_gemma":[0.000007757614,0.0000985327,0.0008850513,0.000003761941,0.000006172617,0.00006566354,0.000005910096,0.0007535304,0.9972234,0.00001969805,0.0009258419,0.000004760576],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9196256,0.003635407,0.07199091,0.0001608539,0.00008077214,0.000426522,0.0009776967,0.0003020594,0.002800089],"genre_scores_gemma":[0.9409875,0.001664778,0.05294317,0.00008406446,0.00002624425,0.0003432423,0.0005953314,0.00008769995,0.00326802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008129056,"threshold_uncertainty_score":0.002719462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01498243385537725,"score_gpt":0.2127564661742763,"score_spread":0.1977740323188991,"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."}}