{"id":"W2046703157","doi":"10.1007/s11012-014-9882-4","title":"In-situ condition assessment of seismic fluid dampers: experimental studies and challenges","year":2014,"lang":"en","type":"article","venue":"Meccanica","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"California Department of Transportation","keywords":"Damper; Dissipation; Vibration; Structural engineering; Reduction (mathematics); Transducer; Strain gauge; Computer science; Engineering; Acoustics; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008596477,0.0005443038,0.0003867847,0.0003626416,0.0003758246,0.0004532291,0.0008162954,0.0009756316,0.001377584],"category_scores_gemma":[0.001687608,0.0002097295,0.0001752825,0.0002660552,0.0006352421,0.001111183,0.0005063494,0.0005327627,0.000253883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000208482,"about_ca_system_score_gemma":0.000176606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007197418,"about_ca_topic_score_gemma":0.001311328,"domain_scores_codex":[0.9994124,0.0001665823,0.0000304492,0.0001349968,0.000199127,0.00005640845],"domain_scores_gemma":[0.9986113,0.0006566378,0.0001798512,0.0001771951,0.0003123159,0.00006261378],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006449802,0.0008437312,0.006692157,0.0002247733,0.00002520685,0.00006426906,0.0003592829,0.006341898,0.953331,0.0002291755,0.0002143692,0.03102917],"study_design_scores_gemma":[0.00008620521,0.003697866,0.02772541,0.0000526189,0.00009311677,0.0003101863,0.0008605179,0.09011997,0.874085,0.0006851202,0.002226638,0.00005723817],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9457017,0.0002999045,0.05239842,0.00009222152,0.00003925957,0.00005355003,0.0001662984,0.0001277873,0.001120915],"genre_scores_gemma":[0.9899293,0.0001777392,0.009194228,0.00001792081,0.0000160037,0.00003051848,0.00006959377,0.00001419382,0.0005504898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001377584,"threshold_uncertainty_score":0.004608452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04550431587230422,"score_gpt":0.3568027683318193,"score_spread":0.311298452459515,"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."}}