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Record W2101847486 · doi:10.1002/iroh.200610928

Changes in Physical and Chemical Limnology and Plankton during the Spring Melt Period in a Subarctic Lake

2007· article· en· W2101847486 on OpenAlexaff
Laura Forsström, Sanna Sorvari, Milla Rautio, Eloni Sonninen, Atte Korhola

Bibliographic record

VenueInternational Review of Hydrobiology · 2007
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArctic and Antarctic ice dynamics
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsSubarctic climateLimnologyZooplanktonPlanktonPhytoplanktonOceanographyEnvironmental scienceArcticSpring (device)BloomSpring bloomNutrientEcologyGeologyBiology

Abstract

fetched live from OpenAlex

Abstract The springtime limnology of subarctic Lake Saanajärvi, NW Finnish Lapland, was studied in 1999 with particular interest on the estimation of the effects of acid pulse. No clear pH depression was seen during the study year with exceptionally thin snow cover, in contrast to the year 1997, when a clear episodic decline in surface water pH was measured. In contrast to many Arctic lakes, no phytoplankton spring bloom was observed, probably because of the combination of low nutrient concentrations, dilution effect, flushing and rapid change in light climate. Low temperatures and limited food resources, resulting in long life cycles of zooplankton and with a clear winter maximum, may be the main factor controlling the atypical succession of zooplankton in Lake Saanajärvi. (© 2007 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)

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)0.000
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 score0.029
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
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 head0.006
GPT teacher head0.235
Teacher spread0.228 · 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

Citations21
Published2007
Admission routes1
Has abstractyes

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