{"id":"W4293863205","doi":"10.1109/siu55565.2022.9864694","title":"PLL Based Synchronous Read-Out for Resonant Biosensors","year":2022,"lang":"en","type":"article","venue":"2022 30th Signal Processing and Communications Applications Conference (SIU)","topic":"Advanced MEMS and NEMS Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Stantec (Canada)","funders":"","keywords":"Phase-locked loop; Computer science; Electronic engineering; Microelectromechanical systems; Adaptability; Biosensor; Engineering; Phase noise; Optoelectronics; Nanotechnology; Physics; Materials science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004184615,0.0004246817,0.0003816128,0.0003352641,0.0002194094,0.0006673994,0.0009840928,0.000500472,0.003922812],"category_scores_gemma":[0.001094392,0.000182203,0.0001968197,0.0001673895,0.0002274271,0.0006994531,0.0002183318,0.0003507698,0.001083615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005471932,"about_ca_system_score_gemma":0.0003791134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005925798,"about_ca_topic_score_gemma":0.0007614357,"domain_scores_codex":[0.9993061,0.0001299771,0.00004054886,0.0001816486,0.0002770412,0.00006468515],"domain_scores_gemma":[0.9992957,0.0003316414,0.000113634,0.00009627725,0.0001433175,0.00001935509],"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":[0.0009276546,0.0001990348,0.001858405,0.0008241938,0.00006566313,0.0004627031,0.0003639857,0.01495392,0.802488,0.00729828,0.003734204,0.166824],"study_design_scores_gemma":[0.0001667115,0.001024429,0.001574939,0.00004640173,0.00007800319,0.0008649154,0.00004041299,0.1659849,0.8064202,0.001662494,0.02207743,0.000059147],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1464644,0.001939908,0.827626,0.0004134737,0.0005445752,0.0002229075,0.0005643754,0.01181282,0.01041162],"genre_scores_gemma":[0.9224055,0.0003238353,0.07153238,0.0002792679,0.00007011034,0.00009640192,0.0001895087,0.00020383,0.004899288],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003922812,"threshold_uncertainty_score":0.01312315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03120247764338411,"score_gpt":0.2709497845023788,"score_spread":0.2397473068589947,"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."}}