{"id":"W4412754792","doi":"10.11159/iccste25.251","title":"Seismic Vulnerability Assessment in Non-Engineered Dwellings Using RVS Methods and Its Validation with a Quantitative Approach","year":2025,"lang":"en","type":"article","venue":"Proceedings of the International Conference on Civil, Structural and Transportation Engineering","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vulnerability (computing); Vulnerability assessment; Computer science; Reliability engineering; Engineering; Computer security","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000187065,0.0001841465,0.0002027185,0.0002043703,0.00004472975,0.00004288568,0.0001566666,0.00006579514,0.000002496759],"category_scores_gemma":[0.00002240372,0.0001434475,0.00002509401,0.0002477868,0.0000285651,0.0002754947,0.00001096032,0.0002928162,1.898056e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001035713,"about_ca_system_score_gemma":0.0000208076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004772353,"about_ca_topic_score_gemma":0.000005465068,"domain_scores_codex":[0.9991565,0.000004894031,0.0003062864,0.0002169667,0.0001799801,0.0001354087],"domain_scores_gemma":[0.9996142,0.00005147275,0.00007505407,0.00004534792,0.0001816922,0.0000322507],"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":[0.00015443,0.00002053204,0.03475355,0.002675287,0.0002103383,6.601334e-7,0.002617906,0.6012458,0.2036998,0.1509756,0.000004317825,0.003641874],"study_design_scores_gemma":[0.0002289792,0.00002353095,0.2095537,0.0003347154,0.00001686506,0.000002222379,0.0001489801,0.7513562,0.03666949,0.001547219,0.000002346482,0.000115737],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9818201,0.0000374701,0.01720028,0.0001273091,0.000202048,0.0003200999,0.00001486672,0.0000810775,0.0001967154],"genre_scores_gemma":[0.954362,0.00003955155,0.04552119,0.000007007862,0.00001326076,0.00003165782,0.000006802029,0.00001305992,0.000005425151],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1748002,"threshold_uncertainty_score":0.5849621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03544009107578443,"score_gpt":0.3393957648625746,"score_spread":0.3039556737867902,"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."}}