{"id":"W2095885040","doi":"10.1002/eqe.455","title":"A reassessment of dynamic characteristics of the Quincy Bayview Bridge using output‐only identification techniques","year":2005,"lang":"en","type":"article","venue":"Earthquake Engineering & Structural Dynamics","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bridge (graph theory); Identification (biology); Engineering; Structural engineering; Computer science; Biology; Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"design_other","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001980836,0.0003441274,0.0004586692,0.0001822748,0.00006890149,0.00002949163,0.0004629339,0.0001717113,0.000006094393],"category_scores_gemma":[0.00006497322,0.0003054534,0.0001607431,0.0004030274,0.00007205258,0.0002274366,0.0000996328,0.0003818377,9.06673e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005052914,"about_ca_system_score_gemma":0.00005920651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007106623,"about_ca_topic_score_gemma":0.00003663139,"domain_scores_codex":[0.998041,0.00003278721,0.0009395323,0.0002406457,0.0003695204,0.0003765245],"domain_scores_gemma":[0.9987687,0.00005621396,0.0002940014,0.0006594319,0.000147287,0.00007433938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000003982062,0.000004253339,0.001929116,0.0004906965,0.0000292714,6.382255e-7,0.0001017548,0.0001651364,0.0004778017,0.000623467,0.000004594228,0.9961693],"study_design_scores_gemma":[0.00008072308,0.00002424445,0.9705263,0.0003200581,0.00003895933,0.00004640227,0.000007592765,0.02790856,0.0005930935,0.00008667387,0.00009839339,0.0002689996],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905669,0.0001676042,0.007057603,0.00004035563,0.0009097695,0.0004864804,0.0001618466,0.0005895238,0.0000199364],"genre_scores_gemma":[0.9870011,0.0001175886,0.01256959,0.000005825288,0.0001488326,0.00001391365,0.00003736721,0.00008432744,0.0000215151],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9959003,"threshold_uncertainty_score":0.9999397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01037489006598617,"score_gpt":0.2674924200738417,"score_spread":0.2571175300078555,"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."}}