{"id":"W4401824319","doi":"10.21203/rs.3.rs-3547003/v1","title":"NEMS Generated Electromechanical Frequency Combs","year":2024,"lang":"en","type":"preprint","venue":"Research Square","topic":"Advanced MEMS and NEMS Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Resonator; Miniaturization; Nanoelectromechanical systems; Equidistant; Acoustics; Modal; Physics; Resonance (particle physics); Bandwidth (computing); Vibration; Modal analysis; Electronic engineering; Computer science; Engineering; Optics; Materials science; Electrical engineering; Telecommunications","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":[0.0002860632,0.0003242237,0.0002716002,0.0002839784,0.0004534623,0.0004663448,0.0003428472,0.0006907422,0.009877309],"category_scores_gemma":[0.0008058371,0.00018928,0.0001592733,0.0002196099,0.0004723249,0.000597793,0.0007085078,0.0005164091,0.002151875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003948345,"about_ca_system_score_gemma":0.0001657651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007044849,"about_ca_topic_score_gemma":0.0001641746,"domain_scores_codex":[0.9997367,0.00003370993,0.000006821314,0.00004430435,0.0001492205,0.00002922402],"domain_scores_gemma":[0.9997074,0.00008657687,0.00004203587,0.00006043267,0.000069796,0.00003367992],"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":[0.0004401918,0.0001509771,0.001395731,0.0001905283,0.0000308922,0.0006090501,0.000270948,0.005729703,0.8622005,0.0802139,0.006225154,0.04254237],"study_design_scores_gemma":[0.0001041519,0.0001985501,0.004357514,0.00003883886,0.00001702826,0.000815245,0.0001391766,0.1434794,0.7530296,0.01283547,0.08492869,0.00005632576],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6706255,0.001119524,0.1695631,0.001930085,0.00227366,0.0002110022,0.00108217,0.001241059,0.1519539],"genre_scores_gemma":[0.9185203,0.0001732931,0.03114784,0.0002300481,0.0002044973,0.0001014249,0.0003580997,0.0002170339,0.04904739],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009877309,"threshold_uncertainty_score":0.03304285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05149750400916311,"score_gpt":0.3685558270256383,"score_spread":0.3170583230164752,"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."}}