{"id":"W4413371637","doi":"10.1016/j.conbuildmat.2025.143076","title":"Experimental characterisation of hydraulic lime mortar and clay brick elasticity using the Virtual Fields Method","year":2025,"lang":"en","type":"article","venue":"Construction and Building Materials","topic":"Fluid Dynamics Simulations and Interactions","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Engineering and Physical Sciences Research Council; Natural Sciences and Engineering Research Council of Canada","keywords":"Mortar; Materials science; Brick; Geotechnical engineering; Lime; Elasticity (physics); Brick and mortar; Composite material; Lime mortar; Engineering; Computer science; Metallurgy","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00009255506,0.00007710981,0.000124729,0.000082361,0.0001098597,0.00006439728,0.00002861933,0.00005533728,0.00006534491],"category_scores_gemma":[0.0000168549,0.00006605199,0.00001668067,0.00007115617,0.00006085705,0.0001325231,0.00002578028,0.00004645752,2.819809e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002140221,"about_ca_system_score_gemma":0.000007374851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004982744,"about_ca_topic_score_gemma":7.882654e-7,"domain_scores_codex":[0.9995606,0.0000334792,0.0002103993,0.00009055488,0.00003779206,0.000067187],"domain_scores_gemma":[0.9997834,0.00006261856,0.00004172237,0.00007282849,0.00002379828,0.00001562584],"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":[0.000007815243,0.000004754162,0.000308208,0.00001823915,0.00002668163,8.168688e-8,0.0001016152,0.005798806,0.9869995,0.005103177,0.000008843516,0.001622352],"study_design_scores_gemma":[0.0001624831,0.00001343965,0.00382429,0.00004697351,0.00003112566,0.00002308261,0.0001919249,0.1448088,0.8504946,0.0002040652,0.0001265684,0.00007257477],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8506382,0.00004870864,0.1482685,0.00002556664,0.0007942453,0.00007668637,0.00001118773,0.00003277262,0.0001041509],"genre_scores_gemma":[0.9927411,0.00002656075,0.007136556,0.00002478415,0.00004450834,0.000004630818,0.000003770967,0.000005841144,0.00001222771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1421029,"threshold_uncertainty_score":0.2693522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01076907909183626,"score_gpt":0.2778733135116037,"score_spread":0.2671042344197674,"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."}}