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Record W2045103865 · doi:10.1029/2006eo490005

Fifty years of ocean observations in the Pacific Northeast

2006· article· en· W2045103865 on OpenAlexaffabout
Frank A. Whitney, Philippe D. Tortell

Bibliographic record

VenueEos · 2006
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicOceanographic and Atmospheric Processes
Canadian institutionsUniversity of British ColumbiaFisheries and Oceans Canada
Fundersnot available
KeywordsOcean gyreSubarctic climateOceanographyEnvironmental scienceSampling (signal processing)Pacific oceanClimatologyWeather stationMeteorologyGeographyGeologyFisherySubtropics

Abstract

fetched live from OpenAlex

Ocean Station Papa, at 50°N, 145°W in the Alaska Gyre (Figure 1), started as a weather station in the 1940s. In 1956, oceanographers began collecting a suite of standard measurements from the cool subarctic waters at Ocean Station Papa (OSP), including temperature, salinity, oxygen, and plankton.Three years later, a series of sampling stations was added along the 1400‐kilometer ‘Line P’ from the Canadian coast to OSRto aid in understanding ocean variability. From 1956 to 1981, weather ships made the transit to and from OSP every six weeks, resulting in high temporal resolution sampling. The weather ship era ended in 1981 when satellites began providing better data for forecasting ocean weather. Since then, Canadian research vessels have continued to sample along Line P two to five times each year. In this recent era, transport of carbon within the ocean has become a major research focus.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.085
Threshold uncertainty score0.168

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.012
GPT teacher head0.179
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 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

Citations5
Published2006
Admission routes2
Has abstractyes

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