{"id":"W4389409160","doi":"10.1002/cepa.2935","title":"Preventing Alkali‐Silica Reaction in Concrete","year":2023,"lang":"en","type":"article","venue":"ce/papers","topic":"Concrete and Cement Materials Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Fredericton; University of New Brunswick","funders":"","keywords":"Alkali–silica reaction; Cementitious; Portland cement; Durability; Alkali–aggregate reaction; Aggregate (composite); Consistency (knowledge bases); Reactivity (psychology); Computer science; Cement; Construction engineering; Process engineering; Environmental science; Materials science; Engineering; Artificial intelligence; Nanotechnology; Composite material","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":[0.0002428921,0.00008351454,0.0001075778,0.0001220253,0.00003302224,0.00003155242,0.00009030383,0.00005357223,0.0004298068],"category_scores_gemma":[0.00003338301,0.00008991986,0.00003444737,0.0002974921,0.00001410013,0.00007462559,0.00003822063,0.0001015369,0.000338825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005560009,"about_ca_system_score_gemma":0.00001091381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000390471,"about_ca_topic_score_gemma":0.00001498291,"domain_scores_codex":[0.99925,0.00002396408,0.0001494858,0.000133184,0.0001421488,0.0003012151],"domain_scores_gemma":[0.9997545,0.00004048488,0.00001131529,0.0001385892,0.00000853246,0.0000465196],"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":[0.000006408572,4.705148e-7,0.0002802822,0.00006168527,0.00001249086,0.00001303164,0.0001855898,0.0001748956,0.9925963,0.00004278544,0.001053235,0.005572823],"study_design_scores_gemma":[0.002427858,0.0001267789,0.06068275,0.0003659582,0.00003647414,0.00001368212,0.002386725,0.03154328,0.4798096,0.0001672451,0.4213314,0.00110826],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.926832,0.00005293848,8.821708e-7,0.00006439425,0.0002499754,0.0001259525,0.000003292909,0.0003086679,0.07236187],"genre_scores_gemma":[0.9978382,0.0002790226,0.0000120842,0.00002023969,0.00008439268,0.0000403886,0.00003010264,0.00002404395,0.001671502],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5127867,"threshold_uncertainty_score":0.4706083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01738724478763353,"score_gpt":0.2564097727965606,"score_spread":0.2390225280089271,"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."}}