{"id":"W2051862492","doi":"10.1115/detc2007-35467","title":"Ferromagnetic Shape Memory Thin Film In-Plane Actuators: Assessment of Mechanical Output","year":2007,"lang":"en","type":"article","venue":"","topic":"Shape Memory Alloy Transformations","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Actuator; Shape-memory alloy; Ferromagnetism; Compensation (psychology); Materials science; Stacking; Thin film; Film plane; Plane (geometry); Computer science; Optoelectronics; Mechanical engineering; Condensed matter physics; Nanotechnology; Magnetization; Composite material; Physics; Magnetic anisotropy; Artificial intelligence; Engineering; Magnetic field; Nuclear magnetic resonance; Geometry","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001653007,0.0001574372,0.0002719995,0.0001819253,0.00005025841,0.00002938754,0.00036312,0.000108344,0.009199781],"category_scores_gemma":[0.00007289548,0.0001351015,0.00005928157,0.0002354103,0.00006761573,0.0002788261,0.00004502494,0.0001578582,0.000218318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007928799,"about_ca_system_score_gemma":0.0001081386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001033324,"about_ca_topic_score_gemma":0.0004227778,"domain_scores_codex":[0.998162,0.00007793284,0.0006521096,0.0002566355,0.0004762164,0.0003750854],"domain_scores_gemma":[0.9991236,0.0002822251,0.00009834894,0.0003216226,0.00005678062,0.0001174719],"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":[0.00006578524,0.0005339133,0.0006628762,0.0001152855,0.00001242989,0.00004449803,0.001125841,0.0009583409,0.9813542,0.01181376,0.0004748719,0.002838162],"study_design_scores_gemma":[0.001919578,0.0005558454,0.06786885,0.00009918844,0.00004716862,0.00005989887,0.002209634,0.04025631,0.8845687,0.001384459,0.0004715118,0.0005588803],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9477147,0.00001493572,0.01617924,0.0001956144,0.000338226,0.0003106407,0.00001563733,0.0001008958,0.03513006],"genre_scores_gemma":[0.977924,0.000003780604,0.02141963,0.0001926125,0.00003441054,0.00001202844,0.000009130829,0.00001384369,0.0003905836],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09678556,"threshold_uncertainty_score":0.991706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02260707031483991,"score_gpt":0.2934955971334826,"score_spread":0.2708885268186427,"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."}}