{"id":"W4413053562","doi":"10.1016/j.cscm.2025.e05129","title":"Corrigendum to “Predicting residual strength of hybrid fibre-reinforced Self-compacting concrete (HFR-SCC) exposed to elevated temperatures using machine learning” [Case Stud. Constr. Mater. 22 (2025) 1–25 page/e04112]","year":2025,"lang":"en","type":"erratum","venue":"Case Studies in Construction Materials","topic":"Fire effects on concrete materials","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Geomechanica (Canada); University of Manitoba","funders":"","keywords":"Hfr cell; Materials science; Composite material; Residual; Residual strength; Structural engineering; Engineering; Computer science; Algorithm; Chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002188205,0.002386602,0.002571155,0.004481838,0.00297693,0.002560653,0.004060411,0.006356857,0.1070964],"category_scores_gemma":[0.01672574,0.001214286,0.002402243,0.002854297,0.001687785,0.001790194,0.002302233,0.004451941,0.06333033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003657413,"about_ca_system_score_gemma":0.003385297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08191627,"about_ca_topic_score_gemma":0.1182175,"domain_scores_codex":[0.9963127,0.0003721852,0.000459605,0.0005067182,0.002102062,0.0002467069],"domain_scores_gemma":[0.9883593,0.001774429,0.0003316447,0.0007612349,0.008449785,0.0003235449],"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":[0.00002962117,0.00001745722,0.00007331485,0.0001135984,0.000009378503,0.0001245556,0.00001541173,0.0001595508,0.0002219652,0.000282428,0.9935236,0.005429148],"study_design_scores_gemma":[0.00004184788,0.00006800768,0.003911961,0.0002729676,0.00005363304,0.0002175681,0.00008453005,0.000929428,0.001475707,0.001456671,0.991417,0.00007073811],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0006960991,0.002914582,0.002805658,0.03586034,0.9282168,0.0001404447,0.004732806,0.001281784,0.02335148],"genre_scores_gemma":[0.01197411,0.007716903,0.005377634,0.04166743,0.1019652,0.0003043037,0.008784982,0.001651552,0.8205578],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1070964,"threshold_uncertainty_score":0.3582731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02363180161150737,"score_gpt":0.2799148914591724,"score_spread":0.2562830898476651,"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."}}