Determination of Current Within the Lightning Path in the Case of Lightning to a Tall Object
Bibliographic record
Abstract
Four model types that could be used to theoretically approximate lightning events currently exist. These are namely gas dynamic (physical) models, electromagnetic models, distributed-circuit models, and “engineering” models. In this paper, a modified transmission line (TL) “engineering” modeling approach, which incorporates the presence of a tall object in the lightning path is adopted. The associated discontinuity at the lightning channel front is treated by introducing reflected and transmitted components, with constituents that are less influential omitted. All computations are performed in the time domain. The considered tall structure is the CN Tower and it is represented by either one, three, or five transmission line sections connected in series. The lightning channel is represented by two more transmission line sections of variable length. The models allow for calculation of current at any height of the CN Tower or the lightning channel and at any time, as needed for determination of the electric and magnetic fields at a distance. The approach is applicable to any other tall structure.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".