{"id":"W2169845097","doi":"10.24908/pceea.v0i0.3926","title":"EFFECTIVE STIFFENING OF THIN ROTATING DISKS USING SHAPE MEMORY ALLOYS","year":2011,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Laser and Thermal Forming Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Critical speed; Stiffening; Rotational speed; Materials science; Rotation (mathematics); Finite element method; Shape-memory alloy; Spinning; Thin film; Mechanics; Mechanical engineering; Structural engineering; Composite material; Rotor (electric); Physics; Engineering; Geometry; Nanotechnology; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001135211,0.0002529696,0.0003199683,0.0002705986,0.0001762403,0.0004111116,0.0003350858,0.0002970794,0.000943381],"category_scores_gemma":[0.0003948769,0.0002397865,0.0001894465,0.0001504512,0.0003195245,0.0002930961,0.0002955745,0.0002241978,0.0002934319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001536589,"about_ca_system_score_gemma":0.0001395022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002266446,"about_ca_topic_score_gemma":0.0003812634,"domain_scores_codex":[0.9999112,0.000009484702,0.000006145858,0.000009158612,0.00005180474,0.00001209064],"domain_scores_gemma":[0.9997981,0.00005727487,0.00004709901,0.00003616748,0.00004235131,0.00001912746],"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":[0.0001300681,0.00002979116,0.0002741839,0.00008539637,0.00001128109,0.0001829267,0.00005743962,0.01652911,0.9656849,0.002089328,0.0001246527,0.01480093],"study_design_scores_gemma":[0.0000541045,0.0004980321,0.001704628,0.00002918758,0.00003034042,0.000351152,0.00005790793,0.2015099,0.7901766,0.001421437,0.004138339,0.00002842219],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9525623,0.001223558,0.03917044,0.00008552582,0.0001121006,0.00002258198,0.0000235142,0.000234405,0.006565581],"genre_scores_gemma":[0.9845051,0.0004042545,0.01245172,0.00002509359,0.00001420176,0.000007876845,0.00002000784,0.00002127326,0.002550512],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000943381,"threshold_uncertainty_score":0.003155947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009865385585783069,"score_gpt":0.201353755688074,"score_spread":0.1914883701022909,"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."}}