MétaCan
Menu
Back to cohort
Record W4393971141 · doi:10.1002/9781119763222.ch9

Mixed‐Potential Integral Equation

2024· other· en· W4393971141 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

Venuenot available
Typeother
Languageen
FieldMathematics
TopicNumerical methods in inverse problems
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsIntegral equationMathematicsApplied mathematicsMathematical analysis

Abstract

fetched live from OpenAlex

This chapter helps the reader to understand popular formulation of mixed-potential integral equation and reduction of vector Maxwell equations in layered media to problem of solving scalar Telegrapher's equations for transmission lines with cascaded impedances. It provides formulation of analytic expressions for spectra of voltages and currents in transmission line equations governing spectra of vector and scalar potentials in layered media in case of point source excitation for all possible mutual locations of the point source and observation location. The chapter shows that Green's function components for multilayered medium can be formulated in terms of the one-dimensional transmission line formalism with respect to the coordinate of stratification. Ray-tracing process foundational to formulation of closed-form expressions for spectra of Green's function components is explained.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.332
Threshold uncertainty score0.993

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)0.0240.008

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 head0.178
GPT teacher head0.382
Teacher spread0.204 · 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

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

Same topicNumerical methods in inverse problemsFrench-language works237,207