{"id":"W4410018843","doi":"10.1016/j.cemconres.2025.107915","title":"HEMC modifications to tricalcium silicate hydration: Changes in kinetics and nanostructure examined by time-resolved high energy X-ray scattering","year":2025,"lang":"en","type":"article","venue":"Cement and Concrete Research","topic":"Concrete and Cement Materials Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Government of Saskatchewan; Office of Science; Dow Chemical Company; University of Saskatchewan; Argonne National Laboratory; Cummings Foundation; Canada Foundation for Innovation; U.S. Department of Energy","keywords":"Nanostructure; Silicate; Materials science; Kinetics; Scattering; Small-angle X-ray scattering; Chemical engineering; Mineralogy; Composite material; Chemical physics; Nanotechnology; Chemistry; Optics; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001830219,0.0002181503,0.0001792213,0.00009105315,0.000108928,0.000194531,0.0002031353,0.0002335755,0.00163458],"category_scores_gemma":[0.0003741919,0.0001789448,0.000192337,0.0001258525,0.0002597274,0.0002203217,0.0001280608,0.0004160862,0.0002850865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002252425,"about_ca_system_score_gemma":0.0001701516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001740337,"about_ca_topic_score_gemma":0.001920434,"domain_scores_codex":[0.9998802,0.00001150782,0.000007008733,0.00002464957,0.00003949331,0.000037149],"domain_scores_gemma":[0.9998142,0.00004234937,0.00004746841,0.00002356884,0.0000463482,0.00002609708],"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":[0.0001197759,0.00001517017,0.0001170292,0.00001044303,0.000004051048,0.00002091973,0.0000181956,0.00007826414,0.9988872,0.00004007892,0.00001876728,0.0006700886],"study_design_scores_gemma":[0.000002647082,0.00003731547,0.001243919,6.908553e-7,0.000002621465,0.00001136627,0.00001073182,0.0003282274,0.9981248,0.000007666206,0.0002278137,0.000002271234],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969097,0.0002272935,0.001258742,0.00002245935,0.00001278407,0.00001279216,0.0001098408,0.00003892422,0.001407418],"genre_scores_gemma":[0.9967362,0.0001533699,0.0006047159,0.00001828667,0.000003141555,0.000008433183,0.0001358709,0.0000226861,0.002317229],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001740337,"threshold_uncertainty_score":0.00546819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02422454858626133,"score_gpt":0.2804760247789764,"score_spread":0.2562514761927151,"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."}}