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Record W2020133605 · doi:10.1109/sipda.2011.6088431

CN tower lightning flash components

2011· article· en· W2020133605 on OpenAlexaff
A.M. Hussein, Monika Milewski

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPhysics and Astronomy
TopicLightning and Electromagnetic Phenomena
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsFlash (photography)Environmental scienceMeteorologyPhysicsOptics

Abstract

fetched live from OpenAlex

Based on the records of the new Phantom v5.0 high-speed imaging system (NHSIS) during the past five years (2006- 2010), the cumulative probability distributions of important CN Tower lightning flash parameters flash and ICC durations, flash multiplicity and inter-stroke time (1ST) were determined. During the reporting period, NHSIS recorded 68 CN Tower lightning flashes, of which 56 contained ICCs and 12 contained only return strokes. The flash multiplicity for all flashes (including 21 flashes that contain no return strokes), 35 flashes with ICCs and return strokes, and 12 flashes that contain only return strokes are, respectively, 2.19, 3.43, and 2.42. Therefore, the flash multiplicity of flashes having ICCs and return strokes is the highest. The cumulative probability distribution of ICC duration demonstrates that flashes with only ICCs have considerably larger ICC durations than those of flashes having ICCs and return strokes. Also, generally, flashes that have only return strokes have substantially higher inter-stroke time than that for flashes containing ICCs.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.534
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)0.0070.001

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 head0.027
GPT teacher head0.195
Teacher spread0.167 · 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.

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

Citations7
Published2011
Admission routes1
Has abstractyes

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