MétaCan
Menu
Back to cohort
Record W2080689150 · doi:10.1061/9780784412862.007

Delivering an APM to the Sacramento County International Airport

2013· article· en· W2080689150 on OpenAlexaff
Brandon Kameg, Glenn Morgan

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicTransport and Economic Policies
Canadian institutionsBombardier (Canada)
Fundersnot available
KeywordsScheduleService (business)Scope (computer science)DestinationsInternational airportTelecommunicationsGateway (web page)Transport engineeringBusinessAeronauticsComputer scienceTourismEngineeringGeographyMarketing

Abstract

fetched live from OpenAlex

Sacramento County International Airport (SMF) is commonly referred to as the "Gateway to Northern California" with its close proximity to Lake Tahoe and Napa Valley. It is used by many major airlines to service U.S. cities and international destinations. SMF has seen growth on average at times of 4% a year and has recently undergone the largest capital improvement project in the County's history known as the "Big Build." To support this growth, new terminal and airside concourse have been built, along with a connecting and elevated APM shuttle service. To support the $1.04 billion SMF "Big Build" modernization program, Bombardier designed and supplied the driverless INNOVIA APM system as the vital dual lane link between the new concourses. The APM scope of supply includes vehicles, BOMBARDIERCITYFLO 650 automatic train control, power distribution, communications and station platform doors, as well as an extended O&M operation. The new state-of-the-art airport expansion opened for passenger service the morning of October 6, 2011. The project came in significantly ahead of schedule as well as under budget. It was a true team effort in conjunction with all of the various partners, as well as the other players associated with the works. It can be considered a model for similar projects of its kind in the current industry environment.

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 categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.435
Threshold uncertainty score0.998

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 communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.003

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 head0.015
GPT teacher head0.203
Teacher spread0.188 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations1
Published2013
Admission routes1
Has abstractyes

Explore more

Same topicTransport and Economic PoliciesFrench-language works237,207