{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002182061,0.0004606323,0.0002832367,0.001362943,0.0004641551,0.0005665233,0.0003852131,0.0003617578,0.001401835],"category_scores_gemma":[0.0002818679,0.0002236158,0.0002190593,0.0008373384,0.0003753552,0.0001860809,0.0002434472,0.0002202107,0.0003862834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006296278,"about_ca_system_score_gemma":0.0006026989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06576201,"about_ca_topic_score_gemma":0.3202658,"domain_scores_codex":[0.9998294,0.000007619306,0.000005808653,0.00003101163,0.0001011302,0.00002497402],"domain_scores_gemma":[0.9998195,0.00002600624,0.00002433501,0.00001343941,0.00008753066,0.00002927855],"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":[0.0003569211,0.0001543506,0.3781725,0.0004621658,0.00007488725,0.0007403265,0.002532218,0.03494783,0.482613,0.0004872688,0.0007422384,0.09871633],"study_design_scores_gemma":[0.000006927449,0.0002463415,0.9136708,0.00004349766,0.00005620389,0.0002221352,0.001908852,0.04860827,0.03260694,0.00009964654,0.002497829,0.00003252658],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932679,0.0001206814,0.004651143,0.00001210637,0.000003791514,0.00002769914,0.0003269524,0.00004839665,0.001541401],"genre_scores_gemma":[0.9952742,0.0001036647,0.002597311,0.000005722639,0.00000232981,0.00001668699,0.0002911946,0.00001058861,0.001698229],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06576201,"threshold_uncertainty_score":0.1307585,"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."}}