{"id":"W2605166382","doi":"10.1785/0120160206","title":"Generating Spectrum‐Compatible Time Histories Using Eigenfunctions","year":2017,"lang":"en","type":"article","venue":"Bulletin of the Seismological Society of America","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"University Network of Excellence in Nuclear Engineering","keywords":"Eigenfunction; Spectrum (functional analysis); Mathematics; Geology; Physics; Eigenvalues and eigenvectors; Quantum mechanics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004697528,0.0004714014,0.0002443483,0.0007234856,0.0002806888,0.0004105553,0.000530874,0.0004029236,0.002814853],"category_scores_gemma":[0.002078304,0.0003593013,0.0003563494,0.0004585596,0.0003291875,0.000897778,0.0005459088,0.000410773,0.0005532127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002121388,"about_ca_system_score_gemma":0.0003445492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003503821,"about_ca_topic_score_gemma":0.0005962427,"domain_scores_codex":[0.9998162,0.00004290021,0.00001180817,0.0000364188,0.0000765719,0.00001620102],"domain_scores_gemma":[0.9994847,0.0002540236,0.00005312607,0.0001010328,0.00008015833,0.00002697891],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003492122,0.0001816748,0.00244512,0.0001940129,0.00006695966,0.0005722174,0.000611522,0.3241504,0.1912314,0.1304366,0.002111643,0.3476493],"study_design_scores_gemma":[0.00001800709,0.00006491296,0.0006044488,0.00001541686,0.00001061445,0.0001443749,0.00005459353,0.9414728,0.03481004,0.01910358,0.003669003,0.00003224691],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04371861,0.00005757054,0.9535929,0.00004231364,0.00005245303,0.00004489991,0.00006799589,0.000456601,0.001966742],"genre_scores_gemma":[0.3574971,0.0001363703,0.6383964,0.00003935979,0.0000307235,0.0001649403,0.0003018321,0.0002943354,0.003138893],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002814853,"threshold_uncertainty_score":0.00941664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02811327088694942,"score_gpt":0.2647779867814133,"score_spread":0.2366647158944639,"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."}}