{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000325353,0.0003104471,0.0003003093,0.0003307163,0.0002220515,0.0004698105,0.0001337425,0.000177922,0.001504769],"category_scores_gemma":[0.001843727,0.0001873641,0.0002074689,0.0001862604,0.0002556893,0.0002273605,0.0002585035,0.000333444,0.0003535576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001422595,"about_ca_system_score_gemma":0.0001187395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008512232,"about_ca_topic_score_gemma":0.001214035,"domain_scores_codex":[0.999775,0.00004321894,0.00002140709,0.00004660723,0.00006963185,0.00004413904],"domain_scores_gemma":[0.999009,0.0004965182,0.0001576814,0.00009800077,0.0001167237,0.0001220661],"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":[0.0006172359,0.00007923479,0.008194786,0.00006139688,0.00002223671,0.0002311294,0.0001142598,0.003232181,0.9798329,0.00008178887,0.00006497524,0.007467939],"study_design_scores_gemma":[0.00001811213,0.001976419,0.06060189,0.00001011684,0.00006074285,0.0002441721,0.0001127037,0.006699293,0.9293326,0.00006536812,0.0008498399,0.00002883697],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982424,0.0002151534,0.0006839674,0.000009057536,0.000008897209,0.00000867423,0.00006009275,0.00003163945,0.0007401152],"genre_scores_gemma":[0.9992825,0.0001090752,0.0001928695,0.00000662697,0.000002801239,0.00000289896,0.00004313011,0.00001114853,0.0003488993],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001504769,"threshold_uncertainty_score":0.00503397,"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."}}