{"id":"W3139143296","doi":"10.1016/j.ijmecsci.2021.106390","title":"Material characterization of thin planar structures using full-field harmonic vibration response measured with stroboscopic holography","year":2021,"lang":"en","type":"article","venue":"International Journal of Mechanical Sciences","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"National Institute on Deafness and Other Communication Disorders; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health","keywords":"Vibration; Finite element method; Mathematics; Discretization; Displacement field; Mathematical analysis; Acoustics; Fundamental frequency; Displacement (psychology); Optics; Physics; Structural engineering; Engineering","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":[0.0004779995,0.00009209022,0.0001654959,0.0001945013,0.00004821238,0.00007174201,0.0003406392,0.00007444405,0.00005767411],"category_scores_gemma":[0.0001558754,0.00007000713,0.00004878658,0.0002219458,0.00004762227,0.0003286309,0.00002320602,0.0001436603,1.27975e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007115884,"about_ca_system_score_gemma":0.0001398876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009539101,"about_ca_topic_score_gemma":0.000004975283,"domain_scores_codex":[0.9985999,0.0001061411,0.0004081016,0.0001067002,0.0006557662,0.0001233776],"domain_scores_gemma":[0.9991518,0.00009459053,0.0002452056,0.00006795277,0.0003864722,0.00005398214],"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":[0.0004936791,0.000008575344,0.0002539457,0.00001071974,0.00003977579,0.00002259665,0.00004953004,0.001037023,0.9958535,0.000549087,0.000006815133,0.001674761],"study_design_scores_gemma":[0.0002348439,0.0004408142,0.016042,0.0001385414,0.00001441268,0.0002078601,0.00004921476,0.002932437,0.9776253,0.002210342,0.00002107248,0.00008314391],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9719704,0.00003239307,0.02569827,0.0003219062,0.001875819,0.00004861931,0.00001265727,0.00003224099,0.000007724909],"genre_scores_gemma":[0.9762258,0.00003233986,0.02343155,0.00004348367,0.0002555136,9.109918e-7,0.000002903615,0.000006935307,5.963251e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01822817,"threshold_uncertainty_score":0.2854808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0325152817830351,"score_gpt":0.3087372093441268,"score_spread":0.2762219275610917,"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."}}