{"id":"W4409543428","doi":"10.1016/j.actbio.2025.04.008","title":"Corrigendum to “Sacrificial 3D printing of shrinkable silicone elastomers for enhanced feature resolution in flexible tissue scaffolds” [Acta Biomaterialia, 2020, 117, 261-272]","year":2025,"lang":"en","type":"erratum","venue":"Acta Biomaterialia","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Silicone; Elastomer; 3D printing; Biomedical engineering; Composite material; 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":[0.002352688,0.002550221,0.002675548,0.005162603,0.004428036,0.003761872,0.003644085,0.007781567,0.08405269],"category_scores_gemma":[0.01355605,0.001229062,0.002481052,0.003282567,0.001345519,0.00239893,0.002264027,0.00540631,0.04867252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005758408,"about_ca_system_score_gemma":0.005798338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05974532,"about_ca_topic_score_gemma":0.1122907,"domain_scores_codex":[0.9955181,0.0002933802,0.0004611478,0.0006343434,0.002690018,0.0004029405],"domain_scores_gemma":[0.993089,0.001128858,0.0002745115,0.0003927409,0.004776779,0.0003380797],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002213875,0.00001181934,0.00002056446,0.0001160667,0.000006725016,0.0001082245,0.00001001664,0.00004218685,0.0001793068,0.00049462,0.9909984,0.007989937],"study_design_scores_gemma":[0.00001495107,0.00002567001,0.0006747467,0.0001361101,0.00003232077,0.0001287965,0.0000254616,0.0001703175,0.0008100602,0.0007648109,0.9971817,0.00003517395],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0001361721,0.004721059,0.0006601496,0.02313587,0.9515561,0.00006155718,0.001095006,0.000341859,0.01829218],"genre_scores_gemma":[0.00432392,0.02063301,0.003501936,0.05557818,0.09841261,0.000202248,0.003631326,0.000661091,0.8130556],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.08405269,"threshold_uncertainty_score":0.2811843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01267889064068235,"score_gpt":0.25144899628275,"score_spread":0.2387701056420677,"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."}}