{"id":"W3037342668","doi":"10.1016/j.matdes.2020.108922","title":"Highly-doped SiC resonator with ultra-large tuning frequency range by Joule heating effect","year":2020,"lang":"en","type":"article","venue":"Materials & Design","topic":"Mechanical and Optical Resonators","field":"Physics and Astronomy","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Simon Fraser University; Australian Research Council; Griffith University; Australian National Fabrication Facility","keywords":"Materials science; Resonator; Joule heating; Heating element; Optoelectronics; Joule (programming language); Doping; Fabrication; Thermal; Microelectromechanical systems; Electrical engineering; Composite material","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002879619,0.0002831152,0.0002914681,0.0002115019,0.0001496589,0.0002485628,0.0004417498,0.0004650614,0.0004597312],"category_scores_gemma":[0.0004089904,0.0002071864,0.0002366118,0.0002193619,0.0002530181,0.0002899346,0.0002175473,0.0003693362,0.0002482952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001961907,"about_ca_system_score_gemma":0.0001403717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000217272,"about_ca_topic_score_gemma":0.0005344911,"domain_scores_codex":[0.9997184,0.00002230303,0.00001649045,0.00007452998,0.0001342601,0.00003400309],"domain_scores_gemma":[0.9997153,0.00007381637,0.00005798479,0.00004033998,0.00008685451,0.00002562608],"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":[0.00001629893,0.000005514882,0.00009931461,0.00002819445,0.000002587639,0.00002599612,0.00001974147,0.00006046798,0.9978685,0.0001248646,0.00005765126,0.001690861],"study_design_scores_gemma":[0.00000946264,0.0001236739,0.001477465,0.000003143719,0.000009395531,0.0001998637,0.00001418706,0.003906413,0.9925634,0.00003933111,0.001640316,0.00001337334],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9621635,0.001491784,0.03065021,0.0001296243,0.0001628459,0.00004206544,0.0001966692,0.0002772554,0.004886045],"genre_scores_gemma":[0.9801123,0.0002978998,0.01839119,0.00004449643,0.00002765187,0.00001930644,0.00008196817,0.00002510701,0.0009999297],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004650614,"threshold_uncertainty_score":0.001537979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01390906217343305,"score_gpt":0.2246708154765901,"score_spread":0.2107617533031571,"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."}}