{"id":"W3165242308","doi":"10.11159/iccste21.130","title":"Aggregate Moisture Content and Fresh Property Control Measures inCementitious Mortars","year":2021,"lang":"en","type":"article","venue":"Proceedings of the International Conference on Civil, Structural and Transportation Engineering","topic":"Concrete and Cement Materials Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Oak Ridge National Laboratory; Virginia Polytechnic Institute and State University","keywords":"Mortar; Aggregate (composite); Cementitious; Water content; Moisture; Materials science; Composite material; Property (philosophy); Environmental science; Pulp and paper industry; Geotechnical engineering; Cement; Geology; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005619047,0.0001269857,0.0001376029,0.00004464148,0.00004207695,0.00009098279,0.0001216555,0.00003687385,0.0000809002],"category_scores_gemma":[0.0000202449,0.0000845035,0.00003406986,0.00005684485,0.00003223116,0.0001633796,0.00001081161,0.0001147179,3.115791e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001920649,"about_ca_system_score_gemma":0.00001184151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004192601,"about_ca_topic_score_gemma":0.00008334103,"domain_scores_codex":[0.9992494,0.000001948364,0.0002017648,0.0001434044,0.0002843444,0.0001191489],"domain_scores_gemma":[0.9996035,0.00001011423,0.0000415031,0.0000371786,0.0002643471,0.00004340976],"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":[0.00004743191,0.000004628426,0.01123075,0.0002596891,0.0001987996,0.000003311836,0.0003316206,0.001548118,0.9688367,0.01629889,0.00004928586,0.001190775],"study_design_scores_gemma":[0.002604089,0.0001053012,0.331508,0.0008620475,0.000122718,0.00003294616,0.0008725366,0.09782812,0.5626253,0.001904401,0.0009326591,0.0006019042],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982074,0.0001601999,0.00008427575,0.0003955884,0.0002132292,0.0001386973,0.000076244,0.00004208825,0.0006822046],"genre_scores_gemma":[0.9994111,0.0002981481,0.00007451233,0.0000325345,0.0000366781,0.00001884374,0.00001653314,0.00001117222,0.0001004429],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4062114,"threshold_uncertainty_score":0.3445953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02257662877382223,"score_gpt":0.2184094384408728,"score_spread":0.1958328096670506,"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."}}