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Record W2050870209 · doi:10.1109/jssc.2005.862348

A Monolithic CMOS 2368<tex>$pm$</tex>30 MHz Transformer Based<tex>$Q$</tex>-Enhanced Series-C Coupled Resonator Bandpass Filter

2006· article· en· W2050870209 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueIEEE Journal of Solid-State Circuits · 2006
Typearticle
Languageen
FieldEngineering
TopicRadio Frequency Integrated Circuit Design
Canadian institutionsUniversity of Calgary
FundersCMC Microsystems
KeywordsPassbandChebyshev filterCMOSRippleMaterials scienceTransformerResonatorInsertion lossElectrical engineeringCenter frequencyEquivalent series resistanceBand-pass filterPhysicsOptoelectronicsEngineeringVoltage

Abstract

fetched live from OpenAlex

A three-pole 0.1 dB ripple Chebyshev series-C coupled resonator bandpass filter with transformer-based Q-enhancement is presented. This Q-enhancement technique compensates resonator loss and produces a flat passband response with low insertion loss. The compensation scheme uses frequency-dependent negative resistance to compensate frequency-dependent inductor losses, avoiding passband distortion, which is a problem with cross-coupled negative resistance circuits. Fabricated in 0.18 /spl mu/m CMOS, the measured filter center frequency is 2368 MHz with a 60 MHz (3 dB) bandwidth, including probe pad and connecting trace parasitic losses. The filter draws 5.84 mA at 1.5 V, and the die area is 1.5 mm/spl times/1.5 mm.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.763
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.002
Meta-epidemiology (narrow)0.0060.006
Meta-epidemiology (broad)0.0070.004
Bibliometrics0.0040.005
Science and technology studies0.0020.002
Scholarly communication0.0020.005
Open science0.0060.000
Research integrity0.0040.008
Insufficient payload (model declined to judge)0.0080.008

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.026
GPT teacher head0.251
Teacher spread0.225 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it