{"id":"W3159339959","doi":"10.1016/j.bioactmat.2021.04.001","title":"Corrigendum to “Viscosity and degradation controlled injectable hydrogel for esophagealendoscopic submucosal dissection” [Bioact. Mater. 6 (2021) 1150-1162]","year":2021,"lang":"en","type":"erratum","venue":"Bioactive Materials","topic":"Esophageal Cancer Research and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Viscosity; Degradation (telecommunications); Endoscopic submucosal dissection; Materials science; Composite material; Medicine; Computer science; Surgery; Telecommunications","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004924493,0.0007486349,0.002076588,0.0003956718,0.0003455028,0.0003405348,0.0001658231,0.0005467608,0.001485483],"category_scores_gemma":[0.0004008471,0.0006218285,0.0002618894,0.0002791722,0.0001201228,0.0001805095,0.0001841526,0.0003395951,0.00007442939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008682686,"about_ca_system_score_gemma":0.0009681003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00102219,"about_ca_topic_score_gemma":0.0002483053,"domain_scores_codex":[0.9963499,0.0002364775,0.0007337372,0.00119232,0.0006121999,0.0008753628],"domain_scores_gemma":[0.9978101,0.0001211111,0.0003928582,0.0005954584,0.0005015441,0.0005789734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.03624544,0.00217384,0.003556258,0.006114881,0.006356742,0.001410571,0.0005199224,7.596898e-7,0.1732149,0.0007537188,0.7657698,0.003883186],"study_design_scores_gemma":[0.03084787,0.006644086,0.02197381,0.001801283,0.002537057,0.0002834501,0.0003728592,0.00003145005,0.896791,0.0004176099,0.03693246,0.00136705],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7498309,0.05405389,0.002060644,0.003858962,0.1198211,0.04037492,0.02214453,0.0006035932,0.00725147],"genre_scores_gemma":[0.6666669,0.002241773,0.001507806,0.0004978704,0.005741154,0.005376041,0.01410719,0.0003116005,0.3035497],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7288373,"threshold_uncertainty_score":0.9996233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02785012170167094,"score_gpt":0.3148181000414236,"score_spread":0.2869679783397527,"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."}}