{"id":"W4318020407","doi":"10.1016/j.engstruct.2022.115290","title":"Rapid seismic fragility curves assessment of eccentrically braced frames through an output-only nonmodel-based procedure and machine learning techniques","year":2023,"lang":"en","type":"article","venue":"Engineering Structures","topic":"Seismic Performance and Analysis","field":"Engineering","cited_by":49,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Iran National Science Foundation; Sharif University of Technology","keywords":"Fragility; Mathematics; Statistics; Algorithm; Engineering; Artificial intelligence; Structural engineering; Computer science","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001772416,0.0002857942,0.0003936536,0.0002269644,0.00007158459,0.00003490434,0.000188223,0.0001317662,0.00002574481],"category_scores_gemma":[0.00005953131,0.0002649019,0.00008617683,0.0005204871,0.00003602056,0.0002875052,0.00003994859,0.0004412882,8.099219e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004284027,"about_ca_system_score_gemma":0.00003993538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003398961,"about_ca_topic_score_gemma":0.000001056562,"domain_scores_codex":[0.9987987,0.00002257577,0.0003207678,0.0002756102,0.0002558879,0.0003264373],"domain_scores_gemma":[0.9994986,0.00006454273,0.00005550787,0.0002589101,0.00004482177,0.00007760815],"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":[0.00000387691,0.00000986358,0.003550148,0.0008895728,0.00008425629,0.00000513944,0.0001789237,0.9847671,0.002334106,0.00006091583,0.0001602548,0.007955784],"study_design_scores_gemma":[0.0001695203,0.00005967778,0.02884222,0.0001587508,0.00004756552,0.000006321844,0.00003066786,0.9595988,0.008601331,0.0001014572,0.002102547,0.0002811007],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8521105,0.002456457,0.1430209,0.0001449,0.0001178562,0.0002291561,0.00004282345,0.001777583,0.00009983494],"genre_scores_gemma":[0.9839501,0.001573975,0.01406187,0.0001272105,0.00007351164,0.00002012422,0.0001205722,0.00005573366,0.00001693088],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1318395,"threshold_uncertainty_score":0.9999803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01075591841356231,"score_gpt":0.2490150685901671,"score_spread":0.2382591501766048,"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."}}