{"id":"W4412453931","doi":"10.1016/j.matdes.2025.114363","title":"Corrigendum to “Microstructure and mechanical properties of silica hydrogels from sodium silicate solutions”. [Mater. Des. 253 (2025) 113919]","year":2025,"lang":"en","type":"erratum","venue":"Materials & Design","topic":"Aerogels and thermal insulation","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Materials science; Sodium silicate; Microstructure; Self-healing hydrogels; Silicate; Chemical engineering; Composite material; Polymer chemistry; Engineering","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":[0.000316532,0.0006873587,0.00114859,0.0001063515,0.0002812586,0.0002435214,0.0005242116,0.001218767,0.002296661],"category_scores_gemma":[0.0001329723,0.0006020742,0.0001306257,0.0001420595,0.0002200329,0.0001232977,0.0005063369,0.0003720302,0.00007178122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001439279,"about_ca_system_score_gemma":0.0003114374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008854261,"about_ca_topic_score_gemma":0.00002501521,"domain_scores_codex":[0.9969451,0.0001812726,0.0009989088,0.0008927347,0.0003434777,0.000638516],"domain_scores_gemma":[0.9982844,0.00004084219,0.0004677255,0.0008036352,0.000214423,0.0001889842],"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":[0.0003960984,0.00005453041,0.000003883402,0.0009031036,0.0001798676,0.000009118868,0.0002593241,0.000009388251,0.9401125,0.0001722742,0.05742896,0.0004709642],"study_design_scores_gemma":[0.0003774747,0.0000559719,0.00006774066,0.001200831,0.0002635642,0.00000958095,0.00004582494,0.00007622104,0.9738067,0.002823811,0.02070276,0.0005695338],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9459074,0.01060379,0.003725824,0.0004225417,0.02507899,0.002277331,0.007200583,0.0007197274,0.00406382],"genre_scores_gemma":[0.91386,0.0005256218,0.002116517,0.0002420689,0.001409798,0.0002817935,0.001453135,0.0001933028,0.07991778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07585397,"threshold_uncertainty_score":0.9996431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04884458095142448,"score_gpt":0.2380729554714707,"score_spread":0.1892283745200463,"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."}}