{"id":"W2119657796","doi":"10.14359/7415","title":"Influence of Mortar Rheology on Aggregate Settlement","year":2000,"lang":"en","type":"article","venue":"ACI Materials Journal","topic":"Grouting, Rheology, and Soil Mechanics","field":"Engineering","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"South Carolina Department of Transportation; University of South Carolina; McGill University","keywords":"Rheology; Mortar; Aggregate (composite); Settlement (finance); Materials science; Geotechnical engineering; Composite material; Geology; Computer science; World Wide Web","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003499106,0.0001382695,0.000257814,0.00006976354,0.00005735462,0.00002224241,0.0001871279,0.00009786704,0.00186563],"category_scores_gemma":[0.0000262403,0.0001232772,0.00003981269,0.00004864427,0.00004005897,0.0000838191,0.00001562636,0.0001414278,0.000159903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003108276,"about_ca_system_score_gemma":0.00001433678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006400176,"about_ca_topic_score_gemma":0.000002025949,"domain_scores_codex":[0.9989845,0.00006713699,0.0004365435,0.00009415377,0.0001291191,0.0002885258],"domain_scores_gemma":[0.9996069,0.00002233997,0.00009777262,0.0001630703,0.00003767723,0.00007222385],"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":[0.0001778555,0.00008183603,0.000925752,0.0001444422,0.0002270846,0.0002145538,0.00128027,0.1894186,0.7871309,0.01083938,0.001502181,0.008057197],"study_design_scores_gemma":[0.001549355,0.0005983615,0.016651,0.0002742276,0.00007460203,0.0008516895,0.00009831103,0.001643286,0.9636792,0.009739643,0.004301241,0.0005390716],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980608,0.00008368593,0.00007892492,0.00004901909,0.0006229372,0.00005678861,0.00002464002,0.00005245942,0.0009707073],"genre_scores_gemma":[0.9987775,0.0005542763,0.0002195966,0.0001380586,0.00015313,0.000003405627,0.000004201735,0.0000208909,0.0001289107],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1877753,"threshold_uncertainty_score":0.9990468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006345049455535018,"score_gpt":0.2109459640335602,"score_spread":0.2046009145780252,"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."}}