{"id":"W2965597467","doi":"10.1109/tcsii.2019.2931840","title":"A Low Power Frequency Tunable FSK Receiver Based on the N-Path Filter","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Circuits & Systems II Express Briefs","topic":"Radio Frequency Integrated Circuit Design","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Frequency-shift keying; Filter (signal processing); Keying; Path (computing); Electronic engineering; Physics; Mathematics; Topology (electrical circuits); Computer science; Telecommunications; Electrical engineering; Engineering; Channel (broadcasting); Demodulation","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00048355,0.000703055,0.0006276668,0.0003687477,0.0004017843,0.0002349165,0.0008452387,0.0004186597,0.00192893],"category_scores_gemma":[0.00001769869,0.0005776552,0.0003473543,0.0006855321,0.00009527255,0.0004759726,5.702988e-7,0.001130761,0.001649066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000596373,"about_ca_system_score_gemma":0.0001608814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003137817,"about_ca_topic_score_gemma":0.000009773002,"domain_scores_codex":[0.9963727,0.0003233941,0.0007553503,0.000779176,0.000865644,0.0009037313],"domain_scores_gemma":[0.9971203,0.0004701166,0.0001259725,0.001854818,0.0001917905,0.0002370666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000214226,0.0003106058,0.00002421383,0.0002859817,0.0002925725,0.00006329357,0.001350405,0.6874267,0.2939672,0.0009945623,0.01419657,0.001066374],"study_design_scores_gemma":[0.004644911,0.001858733,0.0002398965,0.006102126,0.0003325323,0.0002972182,0.001289475,0.1558635,0.7815678,0.0003828918,0.04294505,0.00447594],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1216434,0.0007141518,0.6052513,0.0002872999,0.02027351,0.005398969,0.001012218,0.003081351,0.2423379],"genre_scores_gemma":[0.9947771,0.00002695593,0.00002069236,0.0004153565,0.0001332965,0.0007097296,0.000009422115,0.0002278983,0.003679587],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8731337,"threshold_uncertainty_score":0.9996675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01118137225711256,"score_gpt":0.1895871072051429,"score_spread":0.1784057349480303,"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."}}