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Record W2132892743 · doi:10.1109/ccece.2004.1347731

Alternative network element sets

2004· article· en· W2132892743 on OpenAlexaff
J.J. Narraway

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMathematics
TopicGraph theory and applications
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsElement (criminal law)Network elementSet (abstract data type)CapacitorFunction (biology)Computer scienceCapacitanceMathematicsAlgorithmMathematical optimizationTopology (electrical circuits)CombinatoricsEngineeringPhysicsVoltageTelecommunications

Abstract

fetched live from OpenAlex

Several sets of network element values may result in identical coefficients in a network function. Some or all of the alternative element sets may be comprised of elements which are all real and positive and one or more of these may have desirable characteristics such as a smallest total capacitance or smallest spread of capacitor values. For n dynamical elements associated with a network having an order of complexity n, there may be up to n! alternative sets of values for these n elements each of which will provide the same network function coefficient set. Analytical and iterative procedures are described to find such alternative element sets. Examples are provided.

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.

How this classification was reachedexpand

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)0.000
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.417
Threshold uncertainty score0.306

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.041
GPT teacher head0.330
Teacher spread0.289 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2004
Admission routes1
Has abstractyes

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