{"id":"W2171067281","doi":"10.1177/1045389x04041530","title":"Pseudoelastic SMA Spring Elements for Passive Vibration Isolation: Part II – Simulations and Experimental Correlations","year":2004,"lang":"en","type":"article","venue":"Journal of Intelligent Material Systems and Structures","topic":"Shape Memory Alloy Transformations","field":"Materials Science","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bell Helicopter Textron (Canada)","funders":"Air Force Office of Scientific Research; Air Force Research Laboratory; U.S. Air Force","keywords":"SMA*; Shape-memory alloy; Damper; Parametric statistics; Vibration isolation; Transmissibility (structural dynamics); Structural engineering; Vibration; Nonlinear system; Pseudoelasticity; Reduction (mathematics); Control theory (sociology); Engineering; Acoustics; Computer science; Materials science; Physics; Mathematics; Martensite","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":[0.0001690775,0.0001355324,0.0002166848,0.0001064616,0.0004449273,0.0002575596,0.00007570333,0.00006575179,0.0001313708],"category_scores_gemma":[0.00005071318,0.0001090305,0.00004326068,0.00004771025,0.00005076769,0.0005126253,0.00002541316,0.00005388694,0.000001455376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007242925,"about_ca_system_score_gemma":0.00004538587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000284928,"about_ca_topic_score_gemma":0.00001223368,"domain_scores_codex":[0.9987529,0.00003968094,0.0007401307,0.0001248302,0.0001989061,0.0001435876],"domain_scores_gemma":[0.9992045,0.0000608175,0.0004144524,0.00007459072,0.0001570856,0.00008851349],"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":[0.0002502786,0.00006342978,0.0004379619,0.0001098915,0.00006341481,0.000003067558,0.002919518,0.1255045,0.846325,0.02410518,0.00006332801,0.0001543827],"study_design_scores_gemma":[0.003370677,0.001734199,0.005386936,0.000529381,0.0002428689,0.0005257978,0.00361899,0.01460467,0.9584545,0.007856268,0.003046884,0.0006287927],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9428047,0.0001688988,0.05384061,0.00008675666,0.002585927,0.0003901514,0.00009459526,0.00001356603,0.00001479216],"genre_scores_gemma":[0.9963877,0.00001222143,0.003024912,0.00001909644,0.0005065324,0.00001306896,0.00001240301,0.00001145808,0.00001255986],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1121295,"threshold_uncertainty_score":0.4446136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01899366656546074,"score_gpt":0.2699498032398019,"score_spread":0.2509561366743412,"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."}}