{"id":"W2158179267","doi":"10.1002/adem.201200246","title":"Multiple Memory Shape Memory Alloys","year":2013,"lang":"en","type":"article","venue":"Advanced Engineering Materials","topic":"Shape Memory Alloy Transformations","field":"Materials Science","cited_by":88,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Smarter Alloys (Canada)","funders":"","keywords":"Shape-memory alloy; Materials science; Nickel titanium; SMA*; Embedding; Fabrication; Transformation (genetics); Component (thermodynamics); Set (abstract data type); Computer science; Nanotechnology; Artificial intelligence; Metallurgy; Algorithm; Programming language","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009605102,0.0002600327,0.0001810492,0.0002350639,0.0002498159,0.0004622613,0.0005227495,0.0002988407,0.0044615],"category_scores_gemma":[0.0001334031,0.0001209224,0.0001652374,0.0001823438,0.0003173163,0.0005227445,0.0003242543,0.0004667715,0.001368867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003432889,"about_ca_system_score_gemma":0.0001661471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002104723,"about_ca_topic_score_gemma":0.0005478979,"domain_scores_codex":[0.9999014,0.000004854082,0.000005251028,0.00002847181,0.00004675858,0.00001333521],"domain_scores_gemma":[0.9999062,0.00001362258,0.00002671085,0.00002182533,0.00002140127,0.00001019114],"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":[0.00008933796,0.00002000238,0.0002992731,0.0001007708,0.000005502863,0.0001068922,0.00003690808,0.0002639253,0.9743963,0.005338749,0.0004076181,0.01893478],"study_design_scores_gemma":[0.00000563045,0.00009442255,0.0002933932,0.000004566152,0.000005596877,0.0001752631,0.00001910389,0.001482213,0.9864373,0.0003883893,0.01108971,0.000004432932],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.875904,0.006350272,0.05011895,0.000509124,0.0005502777,0.0001123534,0.0004617954,0.00167213,0.06432117],"genre_scores_gemma":[0.9710508,0.0005245797,0.01096938,0.00006535947,0.00002919476,0.0000198349,0.0001139464,0.00005059188,0.01717637],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0044615,"threshold_uncertainty_score":0.01492518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008088189985672399,"score_gpt":0.2063527970812832,"score_spread":0.1982646070956108,"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."}}