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Record W2012942952 · doi:10.3141/2273-05

Impacts of Panama Canal Expansion on U.S. Greenhouse Gas Emissions

2012· article· en· W2012942952 on OpenAlexaff
Jason Bittner, Timothy D. Baird, Teresa Adams

Bibliographic record

VenueTransportation Research Record Journal of the Transportation Research Board · 2012
Typearticle
Languageen
FieldEnvironmental Science
TopicMaritime Transport Emissions and Efficiency
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsGreenhouse gasPanama canalEnvironmental scienceGlobal warmingAgricultural economicsClimate changeNatural resource economicsBusinessEnvironmental protectionEnvironmental engineeringWater resource managementEconomicsOceanography

Abstract

fetched live from OpenAlex

International shipping is a significant contributor to global climate change, accounting for approximately 3.3% of global carbon dioxide (CO 2 ) emissions across all sectors. The expansion of the Panama Canal, scheduled to open in 2014, will improve available all-water routes for trade between the eastern United States and Asia, creating opportunities for both lower emissions and lower costs. The authors used data from the import and export projections of the FHWA Freight Analysis Framework 3 database to estimate the canal's impact on shipping emissions with and without the expansion project. The expansion is expected to reduce annual CO 2 emissions of U.S. East Coast–Asia trade by 1.4 billion kg in 2025, a per ton reduction of 2.69%. Along with design and operational improvements, the efficiencies created by increased opportunities for use of all-water routes and large vessels are expected to have a small but beneficial impact on greenhouse gas reduction efforts in international shipping.

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)0.005
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.032
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.060
GPT teacher head0.356
Teacher spread0.295 · 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 designObservational
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

Citations10
Published2012
Admission routes1
Has abstractyes

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