{"id":"W2077213731","doi":"10.1007/s11804-011-1054-5","title":"Experimental damage identification using modified mode shape difference","year":2011,"lang":"en","type":"article","venue":"Journal of Marine Science and Application","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University; Memorial University of Newfoundland","funders":"Mitacs","keywords":"Structural engineering; Vibration; Mode (computer interface); Normal mode; Modal; Modal analysis; Offshore geotechnical engineering; Identification (biology); Materials science; Acoustics; Engineering; Finite element method; Computer science; Composite material; Physics; Geotechnical 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":[0.0002807793,0.00005877301,0.00007483023,0.0001193071,0.00008820146,0.00002993707,0.000201355,0.00002292662,0.000004910908],"category_scores_gemma":[0.00001376582,0.00005134098,0.00001154137,0.0002003562,0.00009258847,0.0003375991,0.00005969669,0.00008249854,5.28041e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008801227,"about_ca_system_score_gemma":0.00002559852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004359742,"about_ca_topic_score_gemma":3.243943e-7,"domain_scores_codex":[0.999359,0.000005222813,0.0002264343,0.00008648936,0.0002194869,0.000103434],"domain_scores_gemma":[0.9995752,0.00000681841,0.0001108677,0.0001123842,0.0001266978,0.00006806108],"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":[0.000008614327,0.00001281738,0.001264749,0.00001625011,0.000001671743,4.469527e-7,0.0003901123,0.0001420309,0.8736468,0.0007153482,0.00000868133,0.1237925],"study_design_scores_gemma":[0.00008487057,0.00003608766,0.2079714,0.0000138635,0.000005199493,0.0000292251,0.0001066023,0.2991797,0.4893436,0.003142319,0.000009163618,0.00007796816],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876142,0.00002449384,0.01179083,0.00000903135,0.0001146117,0.00008549265,3.773298e-7,0.00003828725,0.0003226832],"genre_scores_gemma":[0.9881617,0.00002633588,0.01172634,0.000007224339,0.00006486659,0.00000505654,2.656822e-7,0.000005285348,0.000002857506],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3843032,"threshold_uncertainty_score":0.2093624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04843259947803909,"score_gpt":0.3273489670150068,"score_spread":0.2789163675369677,"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."}}