{"id":"W2440601582","doi":"10.1007/s10518-016-9957-9","title":"Comprehensive nonlinear seismic ground response analysis of sensitive clays: case study—Leda clay in Ottawa, Canada","year":2016,"lang":"en","type":"article","venue":"Bulletin of Earthquake Engineering","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Geology; Borehole; Response analysis; Seismology; Shear modulus; Hydrogeology; Geotechnical engineering; Shear (geology); Frequency domain; Engineering; Structural engineering; Materials science; Petrology; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0003153439,0.0003508567,0.0007917694,0.000613454,0.00002612382,0.00001122573,0.0001720845,0.0001426245,0.00006311629],"category_scores_gemma":[0.0002046124,0.0003136527,0.0001675754,0.0008183463,0.00004278115,0.00003179753,0.00004930307,0.0002820818,0.000002385196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001585629,"about_ca_system_score_gemma":0.00006562149,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.07534305,"about_ca_topic_score_gemma":0.04061292,"domain_scores_codex":[0.9980961,0.00008412284,0.0007576976,0.0003117026,0.0003221043,0.000428256],"domain_scores_gemma":[0.9981142,0.001091271,0.00008387474,0.0004572578,0.000121013,0.0001324289],"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":[0.00005960232,0.00003728831,0.0003963845,0.00008754876,0.000640806,0.001131356,0.0002153552,0.9892034,0.007034085,0.00001814592,0.000123527,0.001052503],"study_design_scores_gemma":[0.004075718,0.0005723999,0.3972197,0.0004889425,0.0008619059,0.0007635616,0.002782042,0.5522327,0.007340343,0.000007164675,0.03183442,0.001821031],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917183,0.0001734997,0.007269122,0.00008403348,0.0002140474,0.0002373041,0.00009074095,0.0001432255,0.00006971975],"genre_scores_gemma":[0.9986353,0.00001450544,0.001168129,0.00001594742,0.00003506833,0.00001245876,0.000005036841,0.00005499643,0.00005856719],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4369707,"threshold_uncertainty_score":0.9999316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006880114261280709,"score_gpt":0.1982788716827244,"score_spread":0.1913987574214437,"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."}}