{"id":"W2279702970","doi":"10.1193/110914eqs185m","title":"Cost‐Benefit Analysis of Buildings Retrofitted Using GIB Systems","year":2016,"lang":"en","type":"article","venue":"Earthquake Spectra","topic":"Seismic Performance and Analysis","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Outstanding Youth Science Fund Project of National Natural Science Foundation of China; International Union of Soil Scientists","keywords":"Retrofitting; Masonry; Seismic retrofit; Brace; Engineering; Frame (networking); Cost analysis; Column (typography); Structural engineering; Civil engineering; Computer science; Reliability engineering; Reinforced concrete; Mechanical engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0001659037,0.0001687528,0.0004855392,0.0005943091,0.00004282875,0.00002614818,0.0001601622,0.00008119025,0.0003234891],"category_scores_gemma":[0.00001244677,0.0001288587,0.0002556085,0.001498178,0.0000387041,0.0001824722,0.00001467818,0.00007998116,0.00004398098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008504711,"about_ca_system_score_gemma":0.00001121309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001364097,"about_ca_topic_score_gemma":0.00003021761,"domain_scores_codex":[0.9988389,0.00001133686,0.0003801149,0.0002008056,0.0002423985,0.0003264676],"domain_scores_gemma":[0.9993769,0.0000403939,0.00008014889,0.000366417,0.0000551721,0.00008097372],"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":[0.00002890506,0.00004770655,0.08539133,0.0001361557,0.007317406,0.00002630361,0.0005183232,0.5623897,0.2988553,0.001766776,0.0006563609,0.04286573],"study_design_scores_gemma":[0.0007984578,0.00005389902,0.115196,0.0002362296,0.002468744,0.00001165818,0.0002156176,0.8188233,0.05489367,0.00006758844,0.006532985,0.0007018601],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9681614,0.000458481,0.02996152,0.00003063443,0.0001665124,0.00007806478,0.00004037292,0.0001599769,0.0009430454],"genre_scores_gemma":[0.9988718,0.0001651871,0.0004927244,0.00001628686,0.0001171203,0.000004087301,0.000008138623,0.00002514205,0.000299487],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2564335,"threshold_uncertainty_score":0.5254704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01927797042734497,"score_gpt":0.2346934581286108,"score_spread":0.2154154877012658,"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."}}