{"id":"W2075002757","doi":"10.1617/s11527-014-0281-z","title":"3D meso-scale modelling of concrete material in spall tests","year":2014,"lang":"en","type":"article","venue":"Materials and Structures","topic":"High-Velocity Impact and Material Behavior","field":"Materials Science","cited_by":67,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Association of Emergency Physicians","funders":"Australian Research Council; National Natural Science Foundation of China","keywords":"Spall; Solid mechanics; Ultimate tensile strength; Materials science; Mortar; Structural engineering; Material properties; Strength of materials; Test data; Computer simulation; Composite material; Geotechnical engineering; Computer science; Engineering; Simulation","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":[0.0003100197,0.0008760076,0.0008218525,0.0006725227,0.0005460026,0.001305674,0.001268827,0.002142929,0.005561103],"category_scores_gemma":[0.0009217199,0.0008222253,0.0006402639,0.0007398108,0.001182309,0.0008406014,0.0008842191,0.0007012947,0.0008011333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009021771,"about_ca_system_score_gemma":0.0009903352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01237277,"about_ca_topic_score_gemma":0.01159993,"domain_scores_codex":[0.999734,0.00003877392,0.00001625304,0.00003971875,0.0001106901,0.0000606238],"domain_scores_gemma":[0.9995703,0.0002033278,0.00004892835,0.00006139326,0.00006650513,0.00004948656],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003811661,0.00003124862,0.0007580983,0.00002500116,0.000006072558,0.0001087548,0.00004081944,0.9933558,0.003809977,0.0004071076,0.00008371421,0.001335398],"study_design_scores_gemma":[0.000006366823,0.00002195165,0.001236105,0.000006524711,0.000003510612,0.00001516141,0.00003217072,0.9969957,0.001280334,0.0001986729,0.0001937075,0.000009787599],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9094365,0.0003102649,0.06790628,0.0001915925,0.00005520915,0.0001422278,0.0015709,0.0009975017,0.01938952],"genre_scores_gemma":[0.9937947,0.0001104796,0.00370061,0.00001837304,0.00000378286,0.0000490289,0.0002221556,0.00008033492,0.002020515],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01237277,"threshold_uncertainty_score":0.02460146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01909799583884272,"score_gpt":0.250823701115916,"score_spread":0.2317257052770732,"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."}}