{"id":"W1979009583","doi":"10.1117/12.815524","title":"Smart structures using shape memory alloys","year":2009,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Structural Engineering and Vibration Analysis","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Actuator; Controller (irrigation); Control theory (sociology); Sensitivity (control systems); Linear-quadratic regulator; Shape-memory alloy; Displacement (psychology); Structural engineering; Smart material; Noise (video); Casing; Control system; Computer science; Engineering; Mechanical engineering; Materials science; Electronic engineering; Electrical engineering; Control (management)","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002806049,0.000409518,0.0004893804,0.0001772002,0.00008623767,0.00012599,0.0007724728,0.0002230898,0.00004155173],"category_scores_gemma":[0.0001836992,0.000353428,0.00070834,0.0004698754,0.0001271838,0.0005305175,0.00005841842,0.0003518577,0.000001335649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001837446,"about_ca_system_score_gemma":0.00001910171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007533579,"about_ca_topic_score_gemma":1.173984e-7,"domain_scores_codex":[0.9979124,1.086424e-8,0.0007052691,0.0003299519,0.0006148111,0.0004375424],"domain_scores_gemma":[0.9987673,0.00006740293,0.0001860567,0.00007654023,0.0007504275,0.0001522665],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003143407,0.00002752256,0.00006505765,0.000301969,0.0005830468,1.441296e-7,0.0001769151,0.04478104,0.7859944,0.1641404,0.001958903,0.001939168],"study_design_scores_gemma":[0.0006853155,0.0001312576,0.001552477,0.0001484095,0.0002328612,0.00002511257,0.0006690927,0.8274161,0.1661249,0.001352998,0.001150998,0.000510489],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960003,0.000194357,0.0003859352,0.0005268516,0.0003537147,0.0002846612,0.0000281909,0.0002996633,0.001926311],"genre_scores_gemma":[0.9080581,0.00007624779,0.09114595,0.0001095044,0.0004228987,0.0000237889,0.00001093678,0.00007055455,0.00008199883],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.782635,"threshold_uncertainty_score":0.9998918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01239734452713703,"score_gpt":0.2299446347485988,"score_spread":0.2175472902214617,"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."}}