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Record W1567364483

PASSENGER RAIL AT A GLANCE 2005

2004· article· en· W1567364483 on OpenAlexaboutno aff
A Claypool

Bibliographic record

VenueProgressive railroading · 2004
Typearticle
Languageen
FieldEngineering
TopicUrban and Freight Transport Logistics
Canadian institutionsnot available
Fundersnot available
KeywordsTransport engineeringTransit (satellite)Public transportRail transitTRIPS architectureStock (firearms)BusinessLegislationFinanceQuarter (Canadian coin)EngineeringGeographyPolitical science
DOInot available

Abstract

fetched live from OpenAlex

This article gives an overview of current trends in the passenger rail transit industry. While the past few years have been rough on the transit rail agencies, the future is looking brighter. Transit ridership was up around 2 percent in 2004 compared to 2004, and the first quarter of 2005 showed a continuing rise. The passage of the 2005 SAFETEA-LU legislation will bring in $286.5 billion for transit and highway projects over the next six years, including $52.6 billion for public transportation projects. The article reports on thirty seven transit agencies, organized by states. For each agency, it identifies the region served, then lists route miles, rolling stock, annual ridership, budget or annual operating and capital costs, and number of stations. It then gives a brief overview of the particular agencies upcoming plans and projects. The article also includes a section with charts and tables showing rail route mileage and the status of future projects, as well as the average weekday unlinked passenger trips by mode for 2003.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.389
Threshold uncertainty score0.872

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0030.002
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.3890.249

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 head0.012
GPT teacher head0.195
Teacher spread0.183 · 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 source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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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