{"id":"W2931563010","doi":"10.1177/0954406219839094","title":"Time-space identification of mechanical impacts and distributed random excitations on plates and membranes","year":2019,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Vibration; Acoustics; Bending; Transient (computer programming); Aerodynamics; Field (mathematics); Work (physics); Materials science; Optics; Physics; Computer science; Engineering; Structural engineering; Mechanics; Mechanical engineering; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001727739,0.0002439545,0.0005831384,0.0003475426,0.00007126367,0.00003244109,0.0005796115,0.0001717454,0.000004891724],"category_scores_gemma":[0.001967196,0.0001889016,0.0001285133,0.0007898918,0.0002078838,0.0005519703,0.0001150615,0.0004504,7.685176e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001326629,"about_ca_system_score_gemma":0.00007693032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002623788,"about_ca_topic_score_gemma":9.566885e-8,"domain_scores_codex":[0.9975705,0.00001083033,0.001067378,0.0002326429,0.0008058195,0.0003128866],"domain_scores_gemma":[0.9982733,0.0003117472,0.0004957721,0.0001750203,0.0005106853,0.0002334963],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000105684,0.00002970557,0.00001075231,0.0007308268,0.00004349645,4.085184e-7,0.00009101816,0.05777586,0.9002188,0.04059897,0.00002042823,0.00037409],"study_design_scores_gemma":[0.0007978019,0.0003097564,0.000431431,0.001030844,0.0000568622,0.00005945617,0.00007002361,0.2326493,0.7632349,0.001145899,0.00004147116,0.0001722034],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9870771,0.0002659877,0.01107492,0.0001944017,0.0008964097,0.0003655706,0.00002266562,0.00008803131,0.00001494638],"genre_scores_gemma":[0.9946528,0.0003411446,0.004914118,0.000005352651,0.00005672394,0.000005584952,7.23032e-7,0.00002042573,0.000003143703],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1748735,"threshold_uncertainty_score":0.7703184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009743508234419229,"score_gpt":0.2433729042763247,"score_spread":0.2336293960419055,"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."}}