{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002325422,0.0002575409,0.0003474745,0.0002838444,0.0001836245,0.0001555337,0.0001920859,0.0002738827,0.001514551],"category_scores_gemma":[0.0003594841,0.0001441375,0.0003564135,0.0003058874,0.0002487525,0.0002876538,0.0001223666,0.0004298705,0.0002683181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002188783,"about_ca_system_score_gemma":0.0002356745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002160724,"about_ca_topic_score_gemma":0.003731936,"domain_scores_codex":[0.9998546,0.00001306418,0.00001255202,0.00003118267,0.00006219016,0.00002648643],"domain_scores_gemma":[0.9996591,0.00009677852,0.00008694683,0.00002656503,0.00008902035,0.00004153518],"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":[0.001029543,0.0001098178,0.004084994,0.00006733269,0.00001921461,0.00016966,0.0001491088,0.001869037,0.9890012,0.00007620369,0.00006235023,0.003361648],"study_design_scores_gemma":[0.00001859293,0.001442694,0.06278882,0.000007008509,0.00004397957,0.0001361784,0.0001215359,0.006065033,0.9289033,0.00003901632,0.0004143032,0.00001957931],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994034,0.00008150196,0.000112914,0.000002840111,0.000003382159,0.000001731849,0.00007988419,0.000007869,0.0003065526],"genre_scores_gemma":[0.9986975,0.00005518976,0.0001284911,0.000004339943,0.000002043271,0.000001703272,0.000129989,0.000006284936,0.000974561],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002160724,"threshold_uncertainty_score":0.005066693,"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."}}