{"id":"W2181819618","doi":"10.1016/j.soildyn.2015.08.004","title":"Coherency of dispersed synthetic earthquake ground motion at small separation distances: Dependence on site conditions","year":2015,"lang":"en","type":"article","venue":"Soil Dynamics and Earthquake Engineering","topic":"Seismic Performance and Analysis","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Nuclear Safety Commission","funders":"Canadian Nuclear Safety Commission","keywords":"Geology; Ground motion; Strong ground motion; Seismology; Separation (statistics); Geotechnical engineering; Mineralogy","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001310976,0.0001911985,0.0002251144,0.0001370301,0.00006384934,0.00003635031,0.00007050505,0.00008248552,0.00001710442],"category_scores_gemma":[0.00002213236,0.0001987116,0.00006765185,0.0002074885,0.00003365398,0.0001699232,0.00001877138,0.000127197,0.00002445746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001024996,"about_ca_system_score_gemma":0.00001325266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007298203,"about_ca_topic_score_gemma":0.0008351564,"domain_scores_codex":[0.9991301,0.00001022798,0.0002560663,0.0001882063,0.0001732517,0.0002421838],"domain_scores_gemma":[0.9995224,0.00004006024,0.00004435234,0.0001995123,0.00004534176,0.0001483584],"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":[0.000009274368,0.00001833278,0.003192008,0.00009871161,0.00005012657,0.000004263706,0.0004291804,0.988758,0.0006664889,0.001366621,0.00001546614,0.005391508],"study_design_scores_gemma":[0.000299523,0.00005202683,0.02961046,0.00008632948,0.00003905257,0.000005714886,0.0001564739,0.9691358,0.00020645,0.00005728325,0.0001323315,0.0002185611],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9810796,0.000164047,0.01712024,0.00002062799,0.0002044699,0.00008640026,0.00007294713,0.0001368258,0.001114858],"genre_scores_gemma":[0.9991745,0.0002651605,0.0001369157,0.00001091056,0.00004443585,0.00001425365,0.0001638238,0.00002760548,0.0001624016],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02641845,"threshold_uncertainty_score":0.8103225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01045483987411503,"score_gpt":0.2054696051638448,"score_spread":0.1950147652897298,"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."}}