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Record W2019622124 · doi:10.1139/f00-235

Annual and interannual variability of nutrients and their estimated fluxes in the Scotian Shelf - Gulf of Maine region

2000· article· en· W2019622124 on OpenAlexvenueaboutno aff
Brian Petrie, P. A. Yeats

Bibliographic record

VenueCanadian Journal of Fisheries and Aquatic Sciences · 2000
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicMarine and coastal ecosystems
Canadian institutionsnot available
Fundersnot available
KeywordsNitrateOceanographyDominance (genetics)Environmental scienceWater massAdvectionSilicateNutrientGeologyChemistry

Abstract

fetched live from OpenAlex

Nitrate, silicate, and phosphate observations are used to determine their annual cycles for the Scotian Shelf and the Gulf of Maine. Concentrations increase from fall through winter, decrease rapidly at shallow depths in late winter, and remain at low levels through spring and summer. Deep layers exhibit a weak annual cycle with highest concentrations in summer. Winter nitrate concentrations (depth [Formula: see text] 50 m) are highest on the eastern Scotian Shelf, decreasing southwestwards into the Gulf of Maine. The Gulf of St. Lawrence is the primary source of nitrate (9300 mol· s-1) and silicate (7680 mol·s-1) during winter for the Scotian Shelf; in spring and summer, vertical diffusive fluxes, 1500-1000 mol·s-1 for the central Scotian Shelf, are as large as the horizontal advective ones and can provide the entire nitrate requirement. The 50-m vertical diffusive fluxes of nitrate and silicate vary by a factor of 4 in the Scotian Shelf - Gulf of Maine region. The interannual variability of nitrate and dissolved oxygen on the Scotian Shelf are coupled to water mass changes, with low (high) nitrate and high (low) dissolved oxygen concentrations corresponding to the dominance of Labrador (Warm) Slope water.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.254
Threshold uncertainty score0.504

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.013
GPT teacher head0.193
Teacher spread0.180 · 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

Citations70
Published2000
Admission routes2
Has abstractyes

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