{"id":"W4414270412","doi":"10.1109/jsen.2025.3607380","title":"Narrow Grooves Make Tuning Fork Gyroscope Easier to Achieve Tactical-Grade","year":2025,"lang":"en","type":"article","venue":"IEEE Sensors Journal","topic":"Geophysics and Sensor Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"MD Precision (Canada)","funders":"National Key Research and Development Program of China","keywords":"Gyroscope; Tuning fork; Bandwidth (computing); Sensitivity (control systems); Vibration; Vibrating structure gyroscope; Excitation; Microelectromechanical systems","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":[],"consensus_categories":[],"category_scores_codex":[0.0001357251,0.0002398678,0.0003076435,0.000342452,0.0002061787,0.0001326983,0.0002799695,0.0001795217,0.00004258513],"category_scores_gemma":[0.00007404175,0.0002342282,0.0001371383,0.0004796257,0.00004654679,0.00008897911,0.00003006805,0.0008550209,0.0001181847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009767731,"about_ca_system_score_gemma":0.00002207388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006615739,"about_ca_topic_score_gemma":0.000009130069,"domain_scores_codex":[0.9986454,0.00003898292,0.0003424899,0.0002003212,0.0002021672,0.0005706832],"domain_scores_gemma":[0.9993283,0.00007935667,0.00004403634,0.0002909023,0.00006492549,0.0001924369],"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":[0.0001212147,0.0001480651,0.001165288,0.0001255132,0.0005058579,0.0005943692,0.001235002,0.1679735,0.7321582,0.007033159,0.05403407,0.03490582],"study_design_scores_gemma":[0.003988685,0.0009746323,0.01206994,0.0008488747,0.0003853063,0.002194131,0.002288529,0.1021115,0.4733447,0.05484513,0.3439642,0.002984405],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9794214,0.0001967321,0.006594048,0.002575633,0.002449654,0.0001330878,0.000006110199,0.0002933846,0.008329957],"genre_scores_gemma":[0.994248,0.00004914611,0.003154171,0.0003502409,0.0003132227,0.000004358416,8.115611e-7,0.0000464384,0.001833572],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2899301,"threshold_uncertainty_score":0.9551548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008992355218645852,"score_gpt":0.2403360727722012,"score_spread":0.2313437175535553,"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."}}