{"id":"W2115042017","doi":"10.1260/136943306776232864","title":"Real-Time Data Processing, Analysis and Visualization for Structural Monitoring of the Confederation Bridge","year":2006,"lang":"en","type":"article","venue":"Advances in Structural Engineering","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Bridge (graph theory); Computer science; Visualization; Data processing; Animation; Sorting; Graphical user interface; Field (mathematics); Data visualization; Data processing system; Real-time computing; Database; Data mining; Computer graphics (images)","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":[0.0001049787,0.0002038477,0.0002876055,0.0001787332,0.00008731757,0.00004946316,0.0003072349,0.00007839101,0.000001517416],"category_scores_gemma":[0.00004658168,0.0001711831,0.00003930421,0.0004291716,0.00003667059,0.0007313748,0.00007724958,0.0001098136,4.913741e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001156432,"about_ca_system_score_gemma":0.00001161461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001509822,"about_ca_topic_score_gemma":0.00003967193,"domain_scores_codex":[0.998866,0.00001215622,0.0004283864,0.0002550444,0.000180702,0.0002577298],"domain_scores_gemma":[0.9994042,0.00007834737,0.0001018358,0.0003255375,0.00006085678,0.00002922652],"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":[0.00002545314,0.000002375905,0.1774416,0.001450438,0.00007679981,9.914211e-7,0.0002259255,0.7233074,0.04652818,0.003405736,0.00001123013,0.04752388],"study_design_scores_gemma":[0.0001374473,0.000008329459,0.3953242,0.0000722287,0.00004313521,0.000003129818,0.000007731208,0.5870387,0.01675534,0.0004139418,0.00004551086,0.0001503575],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892797,0.001181115,0.008354588,0.000005692701,0.0004531986,0.0003492846,0.0000497665,0.000291782,0.00003487003],"genre_scores_gemma":[0.9779282,0.0001569676,0.02154929,7.815037e-7,0.0002309519,0.00002271716,0.00007329194,0.00003365541,0.00000416669],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2178826,"threshold_uncertainty_score":0.6980646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01297575354982426,"score_gpt":0.3221581300573784,"score_spread":0.3091823765075541,"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."}}