{"id":"W2171370386","doi":"10.1177/107754630100700101","title":"Traveling-Wave Modal Identification Based on Forced or Self-Excited Resonance for Rotating Discs","year":2001,"lang":"en","type":"article","venue":"Journal of Vibration and Control","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Modal; Excitation; Excited state; Displacement (psychology); Resonance (particle physics); Modal testing; Acoustics; Identification (biology); Physics; Modal analysis; Control theory (sociology); Energy (signal processing); Vibration; Computer science; Materials science; Atomic physics; Artificial intelligence","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":[0.0002314009,0.00008526198,0.0001462527,0.00008007122,0.00007834025,0.0000530658,0.00004571514,0.00005547895,0.000004367892],"category_scores_gemma":[0.00009696451,0.00006687279,0.00004218371,0.00008227467,0.000006273769,0.0001881713,0.000001407363,0.000108123,1.99248e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005147494,"about_ca_system_score_gemma":0.00002540188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001144092,"about_ca_topic_score_gemma":0.000001847347,"domain_scores_codex":[0.999257,0.000023849,0.0003990042,0.00006894142,0.000137444,0.0001137598],"domain_scores_gemma":[0.9994244,0.0001646406,0.0001674026,0.00006682395,0.0001194644,0.0000572485],"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":[0.004365046,0.00008072467,0.003114605,0.0004803331,0.0001113424,0.00003000668,0.001432055,0.06583571,0.06787837,0.001041087,0.0009464911,0.8546842],"study_design_scores_gemma":[0.001549983,0.0002782707,0.02465086,0.00008532056,0.00001881793,0.00001995249,0.00002602449,0.9688765,0.003749925,0.0003109517,0.0003549544,0.00007841534],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4139056,0.0001046721,0.5847595,0.0004694268,0.0002833351,0.0003407793,0.000006138958,0.0001071728,0.00002337577],"genre_scores_gemma":[0.9837478,0.00005284451,0.01568773,0.0001426792,0.0003126893,0.00002355324,0.000002215666,0.00001529456,0.00001520523],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9030408,"threshold_uncertainty_score":0.2726993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01963523224833542,"score_gpt":0.2760861331118764,"score_spread":0.256450900863541,"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."}}