{"id":"W3119528490","doi":"10.1109/led.2021.3050981","title":"Body-Biased Multiple-Gate Micro-Electro-Mechanical Relays","year":2021,"lang":"en","type":"article","venue":"IEEE Electron Device Letters","topic":"Advanced MEMS and NEMS Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Voltage; Relay; Electrical engineering; Electronic circuit; Limit (mathematics); Logic gate; Voltage divider; Hysteresis; Biasing; SIGNAL (programming language); Materials science; Physics; Topology (electrical circuits); Engineering; Computer science; Mathematics; Power (physics); Condensed matter physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001425877,0.0003459811,0.000368697,0.0001557955,0.0001234837,0.0003973006,0.0008488302,0.0005140209,0.0009441142],"category_scores_gemma":[0.0004454954,0.0001575711,0.0001328807,0.0001736338,0.0003075729,0.000555539,0.0002888162,0.0002896923,0.0003630086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002693404,"about_ca_system_score_gemma":0.0001436208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001521019,"about_ca_topic_score_gemma":0.0003392102,"domain_scores_codex":[0.9998301,0.00001711447,0.00001156839,0.00005237283,0.00006371284,0.00002507389],"domain_scores_gemma":[0.9997236,0.0000590184,0.00009608967,0.00004731032,0.00005503896,0.00001892441],"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":[0.00008010004,0.00001479843,0.0001197648,0.00006234677,0.000007033631,0.0001054008,0.00003205492,0.0004827793,0.9948271,0.0007171332,0.0001110549,0.003440449],"study_design_scores_gemma":[0.00001668871,0.0002683314,0.0005265208,0.000005876326,0.000009871035,0.0002153376,0.00002318606,0.00662998,0.9897776,0.0001871102,0.002330672,0.000008778536],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.964975,0.0008325897,0.02985458,0.0001622609,0.0001131998,0.00004879065,0.0001245656,0.0003035014,0.003585487],"genre_scores_gemma":[0.9819198,0.0002260454,0.01587696,0.00003438615,0.00001220106,0.00002412856,0.00004874456,0.00002023791,0.001837543],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009441142,"threshold_uncertainty_score":0.003158331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008194350940692314,"score_gpt":0.2161307494946313,"score_spread":0.2079363985539389,"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."}}