{"id":"W3143260409","doi":"10.1109/intmag.2006.375911","title":"Numerical Simulation Study of Magnetization Precession Dynamics in Submicron Elliptical Ni80Fe20 Thin Film Elements","year":2006,"lang":"en","type":"article","venue":"","topic":"Magnetic Properties and Applications","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Magnetization; Ellipse; Ringing; Thin film; Precession; Magnetization dynamics; Materials science; Rotation (mathematics); Field (mathematics); Physics; Magnetic field; Condensed matter physics; Computer science; Nanotechnology; Mathematics; Artificial intelligence; Quantum mechanics","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":[0.0002030028,0.00009118397,0.0001341746,0.00005158373,0.00005297811,0.00003109369,0.000143677,0.00004908981,0.001157982],"category_scores_gemma":[0.00002327051,0.00007307865,0.00001520279,0.0002122007,0.00002715027,0.00009780266,0.00005350303,0.00004919205,0.0000379585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006931691,"about_ca_system_score_gemma":0.00001522926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001571705,"about_ca_topic_score_gemma":0.0007075974,"domain_scores_codex":[0.9988137,0.00007172129,0.0004835098,0.0002352001,0.0002357317,0.0001601447],"domain_scores_gemma":[0.999573,0.00004483423,0.000103891,0.0001953787,0.00005663558,0.00002629656],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001610848,0.004954614,0.1211194,0.00007206639,0.000002695245,0.000001496096,0.0004625452,0.6907992,0.1720024,0.005479677,0.0003922775,0.004552564],"study_design_scores_gemma":[0.0005398854,0.0002625824,0.03572893,0.00001029516,0.000007568887,2.69261e-7,0.0003692071,0.9541606,0.008282315,0.0004224838,0.000112633,0.000103268],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9800767,0.00001450542,0.01588313,0.0000942074,0.00004829638,0.0005469018,0.00000540217,0.00003629513,0.003294577],"genre_scores_gemma":[0.9970055,0.000002045566,0.002109956,0.00001688671,0.00002470989,0.0000366114,0.0000332179,0.000008523935,0.0007625122],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2633614,"threshold_uncertainty_score":0.9997551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01028262752111847,"score_gpt":0.2694908497789736,"score_spread":0.2592082222578552,"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."}}