{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004703469,0.0005327935,0.0004789186,0.0009280099,0.0005602287,0.001044766,0.001417129,0.001001036,0.00677929],"category_scores_gemma":[0.0008527178,0.0003169828,0.0003225244,0.0004450977,0.0003522787,0.001052244,0.0006910386,0.0006961467,0.003297772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000394393,"about_ca_system_score_gemma":0.0003808386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000164728,"about_ca_topic_score_gemma":0.0002259661,"domain_scores_codex":[0.9991741,0.00008209109,0.00005003257,0.0001345508,0.0005182161,0.00004095895],"domain_scores_gemma":[0.9995595,0.0001317067,0.00004769692,0.00007879004,0.0001574062,0.00002499825],"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":[0.0002305538,0.0001269568,0.0008539947,0.0005138426,0.00005847672,0.0003271855,0.0001569001,0.0009673015,0.734336,0.0181232,0.005399774,0.2389058],"study_design_scores_gemma":[0.00007942197,0.0006618223,0.001752268,0.0001261026,0.0001078277,0.002016685,0.00006825101,0.01640975,0.7606955,0.001992557,0.2160182,0.00007162863],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09292211,0.01020701,0.8147442,0.002153973,0.003586593,0.00136666,0.00117788,0.005476939,0.06836475],"genre_scores_gemma":[0.3912789,0.003090332,0.5537504,0.00232939,0.001424274,0.0005958551,0.0004182273,0.0002531201,0.04685952],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00677929,"threshold_uncertainty_score":0.02267897,"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."}}