{"id":"W4322096893","doi":"10.2139/ssrn.4370698","title":"Creep and Drying Shrinkage of Recycled Aggregate Concrete Containing Cement and Alkali Activated Slag Produced by Water Reduction Method (Wrm) and Equivalent Mortar Volume (Emv)","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Recycled Aggregate Concrete Performance","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Shrinkage; Mortar; Aggregate (composite); Slag (welding); Cement; Volume (thermodynamics); Materials science; Creep; Alkali–aggregate reaction; Waste management; Geotechnical engineering; Composite material; Engineering; Thermodynamics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001710593,0.0003212758,0.0004577832,0.0002446988,0.0002231849,0.00009153753,0.0001341738,0.0001266465,0.00001567818],"category_scores_gemma":[0.00003647726,0.000279512,0.0000548797,0.0002308438,0.0000874978,0.0004834169,0.0001020919,0.0009919357,0.000002957052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003413862,"about_ca_system_score_gemma":0.0001005846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007690072,"about_ca_topic_score_gemma":0.00001128262,"domain_scores_codex":[0.9970106,0.0001338517,0.000535135,0.0003838855,0.0002752507,0.001661276],"domain_scores_gemma":[0.9993384,0.00004649919,0.0001783221,0.0002004997,0.00007955286,0.0001567454],"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":[0.0001447421,0.000002081931,0.0007001676,0.00009577199,0.000354865,0.000007145282,0.0009188661,0.0002518521,0.9574822,0.0001528138,0.00005226478,0.03983719],"study_design_scores_gemma":[0.003105262,0.0007784084,0.0005786035,0.0003739313,0.0002079249,0.0009973323,0.002382773,0.0708347,0.9163195,0.002312495,0.001343022,0.000766052],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912959,0.005872667,0.001821993,0.0002957684,0.0002042532,0.0002809566,0.000005984111,0.0001688538,0.00005364709],"genre_scores_gemma":[0.9772669,0.02192251,0.0002716416,0.000008739508,0.000123929,0.00002076118,0.00001901947,0.00007438505,0.0002920933],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07058284,"threshold_uncertainty_score":0.9999657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008505544698441034,"score_gpt":0.2333553069230646,"score_spread":0.2248497622246236,"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."}}