{"id":"W2464279077","doi":"10.3390/s16071016","title":"Field Measurement-Based System Identification and Dynamic Response Prediction of a Unique MIT Building","year":2016,"lang":"en","type":"article","venue":"Sensors","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"U.S. Geological Survey; Shell","keywords":"Accelerometer; Natural frequency; Structural engineering; Acceleration; Field (mathematics); Vibration; Ambient vibration; Engineering; Structural system; Foundation (evidence); Computer science; Acoustics; Physics; Geography; Finite element method; Mathematics","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":[0.000129282,0.0002810101,0.0002294039,0.0002671971,0.0001391773,0.0001825072,0.0001717074,0.0002578729,0.0003432489],"category_scores_gemma":[0.0002612683,0.0001208584,0.0001122391,0.0001957204,0.0001093798,0.0001821513,0.0001410636,0.000139306,0.00009610818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001886429,"about_ca_system_score_gemma":0.0001732231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004514835,"about_ca_topic_score_gemma":0.01051436,"domain_scores_codex":[0.9999413,0.00001089071,0.000002039553,0.00001945401,0.00001734563,0.00000892186],"domain_scores_gemma":[0.9999233,0.0000242492,0.0000162555,0.00001121955,0.00001874715,0.00000627878],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0003551314,0.000307818,0.09269232,0.0001411625,0.00007843492,0.0003811981,0.0003693216,0.5819569,0.2083821,0.0007752504,0.0009988924,0.1135614],"study_design_scores_gemma":[0.000006796368,0.0001831026,0.05351469,0.000004744865,0.00001393983,0.00005514856,0.00007699279,0.9373424,0.008277541,0.000144473,0.000371378,0.000008813257],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9495857,0.00003655829,0.04923933,0.00003590723,0.000005286457,0.00001472491,0.0001132701,0.0001596325,0.0008096282],"genre_scores_gemma":[0.9973868,0.00001167105,0.002390108,0.000002288566,9.148387e-7,0.000006549281,0.00004958079,0.000001417573,0.0001507772],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004514835,"threshold_uncertainty_score":0.008977115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01691421920025188,"score_gpt":0.2544978156760425,"score_spread":0.2375835964757906,"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."}}