{"id":"W4407078876","doi":"10.1016/j.cemconres.2025.107791","title":"Numerical investigation of mechanisms affecting alkali-silica reaction advancement by reactive transport simulations","year":2025,"lang":"en","type":"article","venue":"Cement and Concrete Research","topic":"Concrete and Cement Materials Research","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hydro-Québec; Université Laval","funders":"","keywords":"Alkali–silica reaction; Alkali–aggregate reaction; Alkali metal; Materials science; Reactive material; Chemical engineering; Forensic engineering; Composite material; Chemistry; Engineering; Aggregate (composite); Organic 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":[0.0003700642,0.0006513694,0.0008208542,0.0007434067,0.0006845369,0.0008223574,0.00125089,0.001537542,0.003341747],"category_scores_gemma":[0.002059173,0.0005854235,0.000655289,0.000642233,0.0008661952,0.0006663479,0.000540912,0.0007375501,0.000225474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001181911,"about_ca_system_score_gemma":0.001177541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01951181,"about_ca_topic_score_gemma":0.008141796,"domain_scores_codex":[0.9998558,0.00002797517,0.00000897039,0.00002501981,0.00003284062,0.00004944992],"domain_scores_gemma":[0.9987935,0.0007418001,0.0001471737,0.00007131168,0.0001594956,0.00008668005],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001159044,0.00008791596,0.001198398,0.00003785923,0.00001744569,0.00007728294,0.00002803442,0.9900546,0.004321463,0.002889494,0.0001111442,0.00106044],"study_design_scores_gemma":[0.00001980215,0.0000183916,0.0002411928,0.00000205102,0.000005358762,0.000004377566,0.00001012735,0.9986394,0.0008189477,0.0001661318,0.00006952875,0.000004571203],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.960391,0.0002165222,0.01516308,0.0003010674,0.00007346064,0.00007643223,0.0003532827,0.0002252836,0.02319983],"genre_scores_gemma":[0.9968302,0.00006463008,0.00187187,0.00002402761,0.00000812827,0.00002035645,0.00005521843,0.00002160587,0.001104017],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01951181,"threshold_uncertainty_score":0.03879648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02802701866571539,"score_gpt":0.3164817152497346,"score_spread":0.2884546965840192,"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."}}