{"id":"W4310424628","doi":"10.58286/27311","title":"Detecting Changes in Boundary Conditions based on Sensitivity-based Statistical Tests","year":2022,"lang":"en","type":"article","venue":"e-Journal of Nondestructive Testing","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Sensitivity (control systems); Parametric statistics; Computer science; Structural health monitoring; Reliability (semiconductor); Boundary (topology); Beam (structure); Stiffening; Algorithm; Structural engineering; Data mining; Engineering; Mathematics; Statistics","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":[0.0008977902,0.0002105318,0.0003167155,0.0004716484,0.0003273407,0.00003597349,0.0001441707,0.00005201662,0.00006098019],"category_scores_gemma":[0.00128831,0.000232535,0.00004487263,0.0006270157,0.00007576808,0.0001111641,0.00003936259,0.001207025,0.000001254442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009445561,"about_ca_system_score_gemma":0.0002166214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004791794,"about_ca_topic_score_gemma":0.00003220577,"domain_scores_codex":[0.9983034,0.00022451,0.0004470286,0.0001759879,0.0004639881,0.0003851078],"domain_scores_gemma":[0.996564,0.002769849,0.0002384921,0.0001515644,0.0001542324,0.0001218574],"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":[0.0003065042,0.0001565225,0.1773247,0.000468729,0.00005465234,0.003436425,0.0005730162,0.653684,0.05729503,0.0002780909,0.0003289457,0.1060935],"study_design_scores_gemma":[0.001188421,0.00144959,0.671926,0.000524215,0.00003089443,0.0009983596,0.0003099694,0.3104989,0.008123385,0.004364807,0.00009195267,0.0004934434],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949595,0.00003276904,0.003412385,0.0000954393,0.0007061575,0.0001877507,0.00007716461,0.0002543188,0.0002745342],"genre_scores_gemma":[0.8879024,3.689609e-7,0.1117135,0.00009243848,0.0002168293,0.00002217105,0.000004852477,0.00004663918,7.928639e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4946014,"threshold_uncertainty_score":0.9482504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0338806485425527,"score_gpt":0.3105464844635925,"score_spread":0.2766658359210398,"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."}}