{"id":"W4416041212","doi":"10.1016/j.powtec.2025.121900","title":"High-fidelity data-driven multi-objective design of class F fly ash–geopolymer concrete","year":2025,"lang":"en","type":"article","venue":"Powder Technology","topic":"Concrete and Cement Materials Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"HORIZON EUROPE Marie Sklodowska-Curie Actions; Multiple Sclerosis Center of Atlanta","keywords":"Fly ash; Compressive strength; Voting; Curing (chemistry); Class (philosophy); Minification; Pareto principle","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":[],"consensus_categories":[],"category_scores_codex":[0.0002464199,0.0001801035,0.0003835817,0.0003999854,0.00005049782,0.00001916735,0.0007736092,0.0002852917,0.0002022103],"category_scores_gemma":[0.0001226687,0.0001825034,0.00003128353,0.0005058437,0.0002150458,0.0001103196,0.0004963388,0.0002656459,0.00005922354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006346496,"about_ca_system_score_gemma":0.00007279629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000140088,"about_ca_topic_score_gemma":0.00002120062,"domain_scores_codex":[0.9986981,0.0000677768,0.0003572953,0.000348242,0.0001392719,0.0003893461],"domain_scores_gemma":[0.9987455,0.0001055104,0.0000436114,0.0009694209,0.0001026398,0.00003331498],"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":[0.00005876779,0.00001289129,0.0006401878,0.0001624641,0.000418461,0.00001354492,0.00006075918,0.0008987178,0.9804004,0.005803771,0.004089048,0.007441013],"study_design_scores_gemma":[0.001219137,0.00009367692,0.0004740287,0.00006214833,0.00006256998,0.000003233655,0.0002003462,0.05214275,0.9406174,0.0009829649,0.003879208,0.0002624761],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8605167,0.002060253,0.1314085,0.0009341802,0.0008723317,0.001012714,0.0002915982,0.001383847,0.00151989],"genre_scores_gemma":[0.9949168,0.0001670498,0.004468517,0.00004843367,0.00002268006,0.00006411566,0.00004962257,0.00002441395,0.0002383903],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1344001,"threshold_uncertainty_score":0.7442272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03127121480351008,"score_gpt":0.2895736578395707,"score_spread":0.2583024430360606,"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."}}