{"id":"W7162109675","doi":"10.82308/6397","title":"Mechanical characterization of local stone masonry for seismic assessment of old buildings","year":2025,"lang":"en","type":"dissertation","venue":"","topic":"Masonry and Concrete Structural Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Masonry; Compression test","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008734405,0.000208763,0.0005393203,0.0001610786,0.00002155289,0.000008686036,0.0001564042,0.0002619338,0.0002668818],"category_scores_gemma":[0.000008265022,0.0001960462,0.0002356638,0.0002127595,0.000009469879,0.00006300666,0.00001195312,0.0001388752,3.345972e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004554816,"about_ca_system_score_gemma":0.00004424267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003541247,"about_ca_topic_score_gemma":0.00001890183,"domain_scores_codex":[0.9989839,0.00001308944,0.000497872,0.0001941148,0.0001767292,0.0001342978],"domain_scores_gemma":[0.9994438,0.00004631503,0.0001599572,0.0001702655,0.0001478611,0.00003181409],"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":[0.0001135341,0.00002019527,0.00002581098,0.006670275,0.00114984,8.292367e-7,0.0001341642,0.01578454,0.8468771,0.04797145,0.0001558157,0.08109646],"study_design_scores_gemma":[0.0003079502,0.0000706892,0.001323141,0.0002916137,0.0005343527,4.165408e-7,0.0002909829,0.7254589,0.2703984,0.0002428762,0.0007843254,0.0002963612],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7610601,0.00002879723,0.2357079,0.00001953453,0.0004359646,0.0003000162,0.0001532726,0.00007270951,0.002221731],"genre_scores_gemma":[0.9872646,0.00009282838,0.002358725,0.00001726437,0.00004065556,0.00004309041,0.003272665,0.00002311466,0.006887108],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7096744,"threshold_uncertainty_score":0.7994531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006280435398891272,"score_gpt":0.244925458803701,"score_spread":0.2386450234048097,"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."}}