{"id":"W2114858213","doi":"10.1002/eqe.2513","title":"Record selection for aftershock incremental dynamic analysis","year":2014,"lang":"en","type":"article","venue":"Earthquake Engineering & Structural Dynamics","topic":"Seismic Performance and Analysis","field":"Engineering","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of British Columbia; Alexander von Humboldt-Stiftung","keywords":"Aftershock; Fragility; Geology; Seismology; Selection (genetic algorithm); Computer science; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.000608889,0.000633142,0.0005461549,0.002219557,0.0004525817,0.001027968,0.0009113121,0.0004530399,0.01408017],"category_scores_gemma":[0.003770981,0.0002050655,0.0006843771,0.001760918,0.0001207545,0.0006608602,0.0008588151,0.0006147681,0.002777431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001594145,"about_ca_system_score_gemma":0.000520824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002210565,"about_ca_topic_score_gemma":0.003030482,"domain_scores_codex":[0.9996647,0.00005905067,0.00003228928,0.00007215697,0.000112427,0.00005942335],"domain_scores_gemma":[0.9983109,0.0006263182,0.0001702221,0.0003239358,0.0004915545,0.00007710361],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001588812,0.0004638724,0.04032984,0.0004677768,0.0003247577,0.0005584782,0.0003148681,0.07549907,0.06581025,0.004185297,0.009578704,0.8008783],"study_design_scores_gemma":[0.0001328135,0.0007793034,0.07268391,0.00008976304,0.0004240379,0.0004438356,0.0004419092,0.8377064,0.059909,0.003730445,0.02352651,0.0001320482],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3252376,0.0002827352,0.65558,0.0001572894,0.0001268106,0.0004424593,0.005207579,0.004934496,0.008030931],"genre_scores_gemma":[0.7332212,0.0002903479,0.2460587,0.00005663516,0.0001636932,0.0004117033,0.01312597,0.0006163354,0.006055426],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01408017,"threshold_uncertainty_score":0.04710287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002822821323970316,"score_gpt":0.1901383694722846,"score_spread":0.1873155481483143,"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."}}