{"id":"W2011486145","doi":"10.1109/iecon.2012.6389261","title":"A MEMS Analog demodulator","year":2012,"lang":"en","type":"article","venue":"","topic":"Advanced MEMS and NEMS Technologies","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Demodulation; Baseband; SIGNAL (programming language); Microelectromechanical systems; Radio frequency; Displacement (psychology); Electronic engineering; Frequency modulation; Acoustics; Electrical engineering; Engineering; Computer science; Materials science; Physics; Optoelectronics; CMOS","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":[0.00002229698,0.00005098629,0.00005317052,0.00002811755,0.00001339032,0.000002876627,0.00004600985,0.00004209215,0.00007381874],"category_scores_gemma":[0.000009199,0.00004107061,0.00001610028,0.0000665646,0.00001093216,0.0001170051,0.00001342925,0.00005129054,0.0000947411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001298458,"about_ca_system_score_gemma":7.038622e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001949121,"about_ca_topic_score_gemma":0.000002671589,"domain_scores_codex":[0.9997094,2.5447e-7,0.00004783412,0.00003429151,0.00003125557,0.0001769862],"domain_scores_gemma":[0.9998431,0.00000827771,0.000003373621,0.0001074293,0.000003635894,0.00003421128],"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":[0.000001583107,0.00003571556,0.003853725,0.00003085359,0.00004835621,0.00000219744,0.0001184381,0.001088869,0.8400806,0.02462642,0.01866403,0.1114492],"study_design_scores_gemma":[0.0001675193,0.00001748433,0.01450074,0.000007559301,0.000007525855,0.0000113259,0.0001471345,0.0008901124,0.7356136,0.003211627,0.2451061,0.0003192561],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9478629,0.0009689946,0.01402535,0.00002824742,0.0003651047,0.00004366951,8.043593e-7,0.001936543,0.03476838],"genre_scores_gemma":[0.992062,0.00006169334,0.007481815,0.00002120297,0.00005621125,0.000005853153,4.749953e-7,0.00001031872,0.0003004797],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.226442,"threshold_uncertainty_score":0.1674811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009610103700151645,"score_gpt":0.2099579945085057,"score_spread":0.2003478908083541,"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."}}