{"id":"W3046566005","doi":"10.1002/smll.202002931","title":"Crosslinking Strategies for 3D Bioprinting of Polymeric Hydrogels","year":2020,"lang":"en","type":"review","venue":"Small","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":387,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institute of Arthritis and Musculoskeletal and Skin Diseases; National Institutes of Health; National Cancer Institute; National Heart, Lung, and Blood Institute; Natural Sciences and Engineering Research Council of Canada","keywords":"Self-healing hydrogels; Materials science; 3D bioprinting; Chemical engineering; Polymer science; Nanotechnology; Tissue engineering; Polymer chemistry; Biomedical engineering; Engineering","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":[0.0003450035,0.0008438669,0.0005059697,0.001877961,0.0001809511,0.0004680045,0.0003758751,0.0005852199,0.001759656],"category_scores_gemma":[0.0002249513,0.0004089427,0.0005097613,0.001079893,0.0002479836,0.0006959225,0.0004336148,0.0009020989,0.001137536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003660271,"about_ca_system_score_gemma":0.00027481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000417699,"about_ca_topic_score_gemma":0.0006760996,"domain_scores_codex":[0.9998019,0.00002290694,0.00001979514,0.00004230844,0.00009127604,0.00002181627],"domain_scores_gemma":[0.9999157,0.00003700266,0.00002370166,0.000005212942,0.00001316933,0.000005205897],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004330979,0.0001480945,0.0001187772,0.02193931,0.0001232512,0.0005452967,0.0001926785,0.002225676,0.3374537,0.01099032,0.004393082,0.6218265],"study_design_scores_gemma":[0.00001946898,0.0003877363,0.001214256,0.002137946,0.0001688326,0.002621142,0.00006480987,0.001494822,0.2514301,0.002353799,0.7380285,0.00007851275],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00521888,0.9798,0.007850166,0.0001121297,0.0002386061,0.00004127753,0.00004825907,0.00007032395,0.006620421],"genre_scores_gemma":[0.02602316,0.9639395,0.005658699,0.0001861438,0.0001160098,0.00006432259,0.0000905589,0.00002076728,0.003900723],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.001877961,"threshold_uncertainty_score":0.005886614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08493588084504856,"score_gpt":0.3499280937132503,"score_spread":0.2649922128682017,"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."}}