{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003995081,0.000342851,0.001240506,0.0002011096,0.00004689883,0.00009798992,0.0006606719,0.0003276855,0.00004506543],"category_scores_gemma":[0.0002715112,0.0003131891,0.0004235127,0.0005162153,0.0001205028,0.00004351226,0.0002084537,0.0005594881,0.00005089887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000689403,"about_ca_system_score_gemma":0.0003034687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001370423,"about_ca_topic_score_gemma":0.000001951124,"domain_scores_codex":[0.9981527,0.00003918372,0.0007118272,0.0003251584,0.0002580725,0.0005130318],"domain_scores_gemma":[0.9988086,0.0005276477,0.0001542707,0.0003255875,0.0000475772,0.0001363211],"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":[8.103214e-7,0.000005701212,0.00000109596,0.04802101,0.0001422925,0.000005709305,0.00004810208,0.00001970155,0.00004883912,0.000337604,0.00002988108,0.9513392],"study_design_scores_gemma":[0.00008059989,0.00002872094,5.182447e-7,0.006168128,0.0001102198,0.000006546974,0.00001943387,0.001880509,0.00009068897,0.0001342348,0.9912023,0.0002780796],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00002305086,0.9783013,0.01780792,0.000008384369,0.0003083344,0.0005832245,0.00004251319,0.0002748441,0.002650409],"genre_scores_gemma":[0.0001184424,0.9815121,0.01765465,0.000005227721,0.0003587098,0.0001159937,0.00003628225,0.0001412238,0.00005734444],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9911724,"threshold_uncertainty_score":0.999932,"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."}}