{"id":"W2332828919","doi":"10.1177/1045389x16633764","title":"Characterization, modeling, and control of Ni-Ti shape memory alloy based on electrical resistance feedback","year":2016,"lang":"en","type":"article","venue":"Journal of Intelligent Material Systems and Structures","topic":"Shape Memory Alloy Transformations","field":"Materials Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Queen's University","funders":"","keywords":"Actuator; Shape-memory alloy; Hysteresis; Position (finance); Control theory (sociology); Materials science; Smart material; Mechanical engineering; Aerospace; Control engineering; Computer science; Artificial intelligence; Engineering; Control (management); Composite material; Physics","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":[0.0005715506,0.0001719303,0.0004442773,0.0001464216,0.00008493677,0.000122795,0.0001708253,0.00009675216,0.0002649079],"category_scores_gemma":[0.0001089152,0.0001014644,0.00005431683,0.00005871755,0.00008367644,0.0002341821,0.0000114988,0.00006597476,0.000002522491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004029699,"about_ca_system_score_gemma":0.00005319198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000128578,"about_ca_topic_score_gemma":0.000003590649,"domain_scores_codex":[0.9981206,0.0001647757,0.0009967681,0.000158773,0.0003741074,0.0001849691],"domain_scores_gemma":[0.9988452,0.00008676337,0.0005422998,0.000136523,0.0002756356,0.0001136382],"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":[0.0009130011,0.00002140866,0.0003092057,0.0001327032,0.00001915537,0.000004810417,0.0001262335,0.0008288036,0.996245,0.0009030256,0.00003691293,0.0004597372],"study_design_scores_gemma":[0.003656248,0.001157764,0.007648626,0.001255407,0.0001729009,0.0002480484,0.0002024397,0.04912698,0.9338959,0.0008196256,0.001179248,0.0006367776],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9791324,0.0001666016,0.01904296,0.0001816849,0.001074617,0.0002196234,0.000131349,0.00001203154,0.00003870533],"genre_scores_gemma":[0.999315,0.00007806752,0.0001912147,0.00006383655,0.0002825511,0.000004173654,0.000002473708,0.00001466727,0.00004802817],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06234907,"threshold_uncertainty_score":0.4137599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01198819111068869,"score_gpt":0.2269157553506695,"score_spread":0.2149275642399808,"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."}}