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Record W2019289999 · doi:10.7901/2169-3358-2011-1-288

SS Princess Kathleen and Ex-USS Chehalis-Guideposts to Wreck Oil Removal

2011· article· en· W2019289999 on OpenAlexaboutno aff
Christopher M. Kimrey, Amy Cocanour

Bibliographic record

VenueInternational Oil Spill Conference Proceedings · 2011
Typearticle
Languageen
FieldEnvironmental Science
TopicOil Spill Detection and Mitigation
Canadian institutionsnot available
Fundersnot available
KeywordsEx parteOil spillArtEngineeringPolitical sciencePetroleum engineeringLaw

Abstract

fetched live from OpenAlex

Abstract On the morning of September 7th, 1952, the 369-foot SS Princess Kathleen, a Canadian Pacific Railroad vessel built in 1925, grounded and sank near Lena Point, north of Juneau, Alaska. At the time of her grounding, she was loaded with an estimated 155,000 gallons of bunker fuel oil. The SS Princess Kathleen now rests on a slope beneath the water, 53 feet at the bow and 134 feet at her stern. Nearly sixty years after her sinking, the Federal On-Scene Coordinator, under the guidance of the National Contingency Plan, has partnered together with the State of Alaska in a unified effort to remove the pollution threat posed by the SS Princess Kathleen from pristine Alaskan waters. At the same time, nearly 7,000 miles away in the South Pacific, a similar threat is mitigated from the Ex-USS Chehalis, a retired U.S. Navy gasoline tanker that sank as a result of a shipboard explosion in 1949. The two cases, when compared side by side, show striking similarities, yet each maintains itself as an individual suc...

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.094
Threshold uncertainty score0.225

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0060.001
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0670.010

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 head0.029
GPT teacher head0.243
Teacher spread0.214 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2011
Admission routes1
Has abstractyes

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