{"id":"W4396655580","doi":"10.1007/978-3-031-59349-9_78","title":"Assessing Alkali-Silica Reaction Performance in Eco-Efficient Concrete: Influence of Alkali Boosting","year":2024,"lang":"en","type":"book-chapter","venue":"Rilem bookseries","topic":"Concrete and Cement Materials Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Alkali–silica reaction; Alkali metal; Boosting (machine learning); Alkali–aggregate reaction; Environmental science; Materials science; Chemistry; Composite material; Computer science; Organic chemistry; Artificial intelligence","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":[0.0005578745,0.0004346233,0.0003750793,0.0002447118,0.0002096125,0.0007559547,0.0004452615,0.0004914347,0.002021536],"category_scores_gemma":[0.0004724039,0.0002173777,0.0003864312,0.0003273467,0.0002198477,0.0005079192,0.0003272681,0.0003192864,0.0009543011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003802885,"about_ca_system_score_gemma":0.0003132913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002365057,"about_ca_topic_score_gemma":0.007124828,"domain_scores_codex":[0.9996847,0.00004401555,0.00001346387,0.00005300714,0.0001828705,0.00002185742],"domain_scores_gemma":[0.9997672,0.0001268596,0.00002748476,0.00001727469,0.00004693032,0.00001409096],"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":[0.0004710996,0.00007769898,0.002289912,0.0001575964,0.00002119772,0.00007280651,0.00006285646,0.01057604,0.9648793,0.0003277163,0.0001850956,0.02087858],"study_design_scores_gemma":[0.00000668434,0.0004122105,0.004316404,0.000009189084,0.00002508906,0.00004780722,0.00004918133,0.00840913,0.9853286,0.0001418205,0.001239498,0.00001428939],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9663911,0.003746906,0.0140815,0.00008090237,0.0000394413,0.00007359624,0.0004705093,0.0002091776,0.01490704],"genre_scores_gemma":[0.9736524,0.002560706,0.00783582,0.0000357226,0.00001020173,0.00002726437,0.0003171807,0.00007238398,0.01548838],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002365057,"threshold_uncertainty_score":0.006762683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01984785575840145,"score_gpt":0.2565852512793038,"score_spread":0.2367373955209024,"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."}}