{"id":"W2065386307","doi":"10.1115/smasis2011-4994","title":"Dynamic Actuation of a Multiple Memory Material Processed Nitinol Linear Actuator","year":2011,"lang":"en","type":"article","venue":"","topic":"Shape Memory Alloy Transformations","field":"Materials Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Innovative Targeting Solutions (Canada); University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Shape-memory alloy; Actuator; Nickel titanium; Materials science; Pseudoelasticity; Displacement (psychology); Realization (probability); Work (physics); Linear actuator; Transformation (genetics); Smart material; Mechanical engineering; Computer science; Composite material; Martensite; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000253258,0.0001366138,0.0001811999,0.0000981283,0.00007734088,0.00002543101,0.0002610605,0.00007797667,0.007977371],"category_scores_gemma":[0.0001166649,0.0001160676,0.00004762294,0.0001320766,0.00009087031,0.0007123075,0.00003017611,0.00004870144,0.000489994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002888077,"about_ca_system_score_gemma":0.00009617436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000096321,"about_ca_topic_score_gemma":0.00009308689,"domain_scores_codex":[0.9989164,0.0000376529,0.0003997989,0.0001940691,0.0002333385,0.0002186819],"domain_scores_gemma":[0.9993371,0.00005485015,0.0001439682,0.0002451637,0.00015498,0.00006387175],"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":[0.000115532,0.0001173519,0.00004380716,0.00008632526,0.000006135163,0.000001092562,0.002549955,0.00000880517,0.9965144,0.00006482176,0.00001800775,0.0004737015],"study_design_scores_gemma":[0.0005389676,0.00007263281,0.001863316,0.00001893346,0.00002143824,0.000005886107,0.0006491602,0.003159412,0.9933363,0.0001698607,0.00002424478,0.0001398076],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864634,0.000002392621,0.007506543,0.00002697643,0.0003220113,0.0004002005,0.00006250574,0.0001957596,0.005020252],"genre_scores_gemma":[0.976843,0.000002067701,0.022802,0.00005499672,0.00002794571,0.0000568904,0.00003342337,0.00001921249,0.0001604434],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01529546,"threshold_uncertainty_score":0.9929295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02975393948085638,"score_gpt":0.2477855888152917,"score_spread":0.2180316493344353,"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."}}