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Record W1965506961 · doi:10.1049/iet-cds.2012.0126

Analysis and design of monolithic resistors with a desired temperature coefficient using contacts

2013· article· en· W1965506961 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.

Bibliographic record

VenueIET Circuits Devices & Systems · 2013
Typearticle
Languageen
FieldMaterials Science
TopicAdvanced Thermoelectric Materials and Devices
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsResistorTemperature coefficientResistive touchscreenMaterials scienceCore (optical fiber)Atmospheric temperature rangeOptoelectronicsElectrical engineeringElectronic engineeringEngineeringPhysicsVoltageComposite material

Abstract

fetched live from OpenAlex

A technique for implementing monolithic resistors with a desired temperature coefficient (TC) over a wide temperature range is introduced. A typical monolithic resistor consists of a core resistive layer terminated with contact layers on each end. In a typical process, there are core resistive layers that have TCs with opposite sign of that of the contacts. The authors propose to take advantage of this property and distribute a certain number of contacts across the core resistor to achieve a desired overall TC for monolithic resistors. This TC can be negative, zero or positive. The methodologies for designing such resistors are presented. As a proof‐of‐concept, several resistor structures have been designed and implemented in a 0.13 μm complementary metal‐oxide semiconductor technology. The simulation and measurement results over the temperature range of 25–200°C confirm the validity of the proposed technique.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.145
Threshold uncertainty score0.829

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.021
GPT teacher head0.233
Teacher spread0.212 · 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