{"id":"W1994927469","doi":"10.1117/12.598539","title":"SHM data interpretation and structural condition assessment of the Manitoba Golden Boy","year":2005,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Strain gauge; Structural health monitoring; Statue; Accelerometer; Wind engineering; Noise (video); Roof; Pile; Total station; Structural engineering; Computer science; Geology; Engineering; Geodesy; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004385451,0.0006400815,0.00040777,0.002430478,0.001199292,0.0005012899,0.0007949607,0.0005256737,0.0039141],"category_scores_gemma":[0.0007546695,0.0002439438,0.0001969956,0.002666938,0.0003834994,0.000190416,0.0006022652,0.0004102392,0.0009747907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001674524,"about_ca_system_score_gemma":0.001764078,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3309073,"about_ca_topic_score_gemma":0.6627955,"domain_scores_codex":[0.9996704,0.00002145482,0.00001182389,0.00006798655,0.0001742345,0.00005415916],"domain_scores_gemma":[0.9993298,0.00003494274,0.00004088783,0.00003779891,0.0005055933,0.00005100135],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005042796,0.0004853581,0.6210257,0.0004951991,0.00008392993,0.00516127,0.01069942,0.01474779,0.1118517,0.001061538,0.01188184,0.2220021],"study_design_scores_gemma":[0.0000142683,0.0001187881,0.9314052,0.00007212471,0.00002708342,0.000267472,0.007481856,0.03814848,0.01183613,0.0001632819,0.01042359,0.00004169793],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9738402,0.00009620218,0.00831508,0.0001917646,0.00003630371,0.0002414499,0.006147133,0.0006124809,0.0105193],"genre_scores_gemma":[0.9644969,0.0001284328,0.02236085,0.00007132796,0.00001347757,0.0001776297,0.004723009,0.0001145323,0.007913973],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6690928,"threshold_uncertainty_score":0.6579623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01627127391627515,"score_gpt":0.2835974530585181,"score_spread":0.267326179142243,"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."}}