{"id":"W4281550896","doi":"10.1002/eqe.3673","title":"Lumped spring model parameters of RC frame elements for seismic performance assessment","year":2022,"lang":"en","type":"article","venue":"Earthquake Engineering & Structural Dynamics","topic":"Seismic Performance and Analysis","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Calibration; Hysteresis; Nonlinear system; Monotonic function; Structural engineering; Spring (device); Frame (networking); Engineering; Mathematics; Mathematical analysis; Physics; Statistics","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":[0.0001724537,0.0002822458,0.0003556436,0.0002266885,0.0001537588,0.00002725847,0.0003100506,0.00005504166,0.00002361398],"category_scores_gemma":[0.000009027333,0.0003182768,0.0001827539,0.0003110521,0.00001884306,0.0002092494,0.00008930835,0.0003819802,0.000001150258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002954354,"about_ca_system_score_gemma":0.00003198031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001776501,"about_ca_topic_score_gemma":0.000005010068,"domain_scores_codex":[0.9984642,0.000008213447,0.0004841445,0.0002387479,0.0003305607,0.0004741178],"domain_scores_gemma":[0.9994797,0.00003801094,0.00006555444,0.0003099427,0.00003595518,0.00007081345],"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":[0.000006661534,0.000004638449,0.002183119,0.0001623108,0.0001195186,7.407361e-7,0.00009131469,0.9358585,0.0006325334,0.0001119401,0.00001480695,0.06081392],"study_design_scores_gemma":[0.0003957821,0.00006436227,0.05259866,0.00002023452,0.0000519198,0.000005013039,0.00007046498,0.9460834,0.0001976524,0.00003769893,0.0001433774,0.000331449],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8893488,0.00004942698,0.1094806,0.00001618606,0.0005020393,0.000224706,0.0001309822,0.0002112375,0.00003600543],"genre_scores_gemma":[0.9765928,0.00003816844,0.02293601,0.0000319126,0.00003814916,0.00009595268,0.0001338483,0.0000682293,0.0000649646],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08724397,"threshold_uncertainty_score":0.9999269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006608755845871502,"score_gpt":0.2095778505142632,"score_spread":0.2029690946683917,"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."}}