{"id":"W4390583398","doi":"10.18400/tjce.1323977","title":"Computational Modelling of Damage Progression in Unreinforced Masonry Walls via DEM","year":2024,"lang":"en","type":"article","venue":"Turkish Journal of Civil Engineering","topic":"Masonry and Concrete Structural Analysis","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Unreinforced masonry building; Masonry; Mortar; Structural engineering; Discrete element method; Context (archaeology); Cracking; Materials science; Geology; Geotechnical engineering; Engineering; Composite material; Mechanics; Physics","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":[0.0002588463,0.0001652306,0.0003196471,0.0003904077,0.00001347434,0.00004021676,0.0001617016,0.00007464297,0.00009235858],"category_scores_gemma":[0.00001435517,0.0001453619,0.000162189,0.0004308142,0.00001309763,0.0003481364,0.00002077051,0.0003843752,0.000001982467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006396457,"about_ca_system_score_gemma":0.00002338291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002779754,"about_ca_topic_score_gemma":0.000002732355,"domain_scores_codex":[0.9988086,0.00001196154,0.0005992806,0.00008907782,0.0002953356,0.0001957076],"domain_scores_gemma":[0.999611,0.00009993185,0.00006809152,0.000074932,0.00006716013,0.00007886554],"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":[0.000008625613,0.000001915072,0.00005198835,0.000336179,0.0001077989,0.00007824059,0.0002596169,0.9919899,0.003385248,0.0003110583,0.00003243419,0.003437025],"study_design_scores_gemma":[0.0001779354,0.00002854767,0.0001927434,0.0007740915,0.00004105065,0.000078764,0.00002167155,0.9966354,0.001417408,0.0002467548,0.0002383937,0.0001472849],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6001591,0.002968761,0.395785,0.00002687742,0.0003966077,0.00005902601,0.000004174594,0.00009018474,0.0005102812],"genre_scores_gemma":[0.9938093,0.0001121022,0.00589243,0.000003673368,0.0001327317,0.000001352498,0.000005528138,0.00002769793,0.00001522436],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3936502,"threshold_uncertainty_score":0.5927687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008636470458482513,"score_gpt":0.2119574464157843,"score_spread":0.2033209759573018,"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."}}