{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0004271799,0.0009960046,0.001481114,0.001113891,0.0001884996,0.0002448474,0.001140166,0.002333561,0.000177542],"category_scores_gemma":[0.0003197974,0.001081941,0.0002052638,0.0008389138,0.0001568087,0.0001984731,0.0006016013,0.0004081593,0.00004470579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000430394,"about_ca_system_score_gemma":0.0001652739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006030397,"about_ca_topic_score_gemma":0.0001985251,"domain_scores_codex":[0.9960731,0.00009163022,0.001137888,0.001094797,0.000360702,0.001241884],"domain_scores_gemma":[0.9981362,0.00005673962,0.0004446162,0.001067753,0.0001711024,0.0001236533],"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":[0.0001314167,0.00003474117,0.000002290831,0.001226825,0.0001059851,0.000006024548,0.0001430386,0.00003593852,0.5871068,0.00002498252,0.4090544,0.002127561],"study_design_scores_gemma":[0.0003998259,0.0001416262,0.0003184008,0.00126059,0.00006416422,0.000003218275,0.00008998557,0.0001616885,0.6684839,0.00007172136,0.3283088,0.0006961473],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7571493,0.0004590771,0.002202732,0.0006677521,0.2228877,0.003610369,0.004240424,0.004239987,0.004542622],"genre_scores_gemma":[0.9183615,0.0003010243,0.007895175,0.00004133391,0.00207703,0.0006313184,0.002820984,0.0003360237,0.06753564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2208107,"threshold_uncertainty_score":0.9991631,"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."}}