{"id":"W2925877924","doi":"10.1680/jmacr.18.00564","title":"Numerical modelling of interfacial transition zone influence on elastic modulus of concrete","year":2019,"lang":"en","type":"article","venue":"Magazine of Concrete Research","topic":"Composite Material Mechanics","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Materials science; Elastic modulus; Aggregate (composite); Volume fraction; Composite material; Compressive strength; Modulus; Young's modulus; Aggregate modulus; Finite element method; Structural engineering; Dynamic modulus; Dynamic mechanical analysis; Polymer; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0005708507,0.0001587777,0.000488542,0.0002996812,0.00001740515,0.00001329718,0.0003012979,0.0001130047,0.0001659813],"category_scores_gemma":[0.00006008892,0.0001673886,0.00008084569,0.0003970654,0.0001072213,0.0001086848,0.00006567575,0.0003366453,0.000101897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000065992,"about_ca_system_score_gemma":0.00004376468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005632771,"about_ca_topic_score_gemma":4.198671e-7,"domain_scores_codex":[0.9980888,0.0001340312,0.0005340158,0.0002122912,0.000683427,0.0003474134],"domain_scores_gemma":[0.9988332,0.0002567886,0.00006912697,0.0003718545,0.0003874899,0.00008158333],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003721797,0.000002099911,0.000009180769,0.0005130926,0.00002812169,0.000002467289,0.000236269,0.324521,0.673383,0.0006298641,0.00001279581,0.000289864],"study_design_scores_gemma":[0.0004850973,0.0006461222,0.00003470227,0.0002783068,0.00000789672,0.000002167321,0.00001708049,0.588026,0.4102573,0.00007982892,0.00006907351,0.00009647453],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9534495,0.00007904096,0.04431159,0.00002352518,0.0001929197,0.0003647046,0.0000425272,0.00004419336,0.001492015],"genre_scores_gemma":[0.9988449,0.00003657412,0.0009817239,0.000003378517,0.00003962811,0.000009132842,0.000008159795,0.00003986318,0.00003658966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.263505,"threshold_uncertainty_score":0.6825909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02955699582194823,"score_gpt":0.2728744082508685,"score_spread":0.2433174124289203,"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."}}