{"id":"W3165122809","doi":"10.1109/ted.2021.3074104","title":"Modeling of Nonlinear Dynamics and Temperature Stability of Doped Silicon Microresonators","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Electron Devices","topic":"Mechanical and Optical Resonators","field":"Physics and Astronomy","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Resonator; Nonlinear system; Vibration; Anharmonicity; Stability (learning theory); Materials science; Silicon; Physics; Mechanics; Control theory (sociology); Spring (device); Condensed matter physics; Optoelectronics; Acoustics; Computer science; Thermodynamics; Quantum mechanics","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":[],"consensus_categories":[],"category_scores_codex":[0.00008728283,0.0001286713,0.0002552306,0.00003820176,0.00005881541,0.00001247409,0.00007745273,0.00006873911,0.0001823579],"category_scores_gemma":[0.000003012326,0.0001127304,0.0001150452,0.0002091861,0.00004258219,0.00006430504,0.000001880954,0.000263249,0.000001130753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000193005,"about_ca_system_score_gemma":0.00008976133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001086318,"about_ca_topic_score_gemma":0.0001909317,"domain_scores_codex":[0.9991052,0.00004787282,0.0002779777,0.0002377816,0.0001488577,0.0001823413],"domain_scores_gemma":[0.9994692,0.00009562333,0.00004928009,0.0001699928,0.0001378738,0.00007806765],"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":[0.0006486954,0.003871208,0.004782654,0.0007260042,0.0008507706,0.000004352301,0.0005490389,0.02019336,0.8170328,0.04946018,0.000005162427,0.1018758],"study_design_scores_gemma":[0.0002580987,0.0001262106,0.00004248456,0.00003275735,0.00005094923,5.210626e-7,0.0002345011,0.1695252,0.8290762,0.0005265298,0.00001864482,0.0001079598],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9726548,0.0001770967,0.02664885,0.00006533046,0.000042981,0.0001050076,0.0001004666,0.00001079539,0.0001946468],"genre_scores_gemma":[0.99931,0.00002494402,0.0005582033,0.00001920557,0.00001640859,0.000009408477,0.00001157112,0.00001116783,0.00003914894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1493318,"threshold_uncertainty_score":0.4597011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008465453935184712,"score_gpt":0.2385120141587467,"score_spread":0.230046560223562,"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."}}