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Record W2069221919 · doi:10.1134/s0032945213010086

Characteristics of under-ice swarming of polar cod Boreogadus saida (Gadidae) in the Central Arctic Ocean

2013· article· en· W2069221919 on OpenAlexaboutno aff
I. A. Melnikov, Н. В. Чернова

Bibliographic record

VenueJournal of Ichthyology · 2013
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFood Industry and Aquatic Biology
Canadian institutionsnot available
Fundersnot available
KeywordsArcticGadidaeSwarming (honey bee)PolarEnvironmental scienceSea iceFisheryArctic ice packOceanographyAtmospheric sciencesGeographyEcologyBiologyGadusAtlantic codFish <Actinopterygii>GeologyPhysics

Abstract

fetched live from OpenAlex

Phenological observations on under-ice swarming behavior of Polar cod Boreogadus saida were performed during the winter period 2009–2010 in the Canadian sector of the Arctic Ocean on the North Pole NP-37 drifting station. These observations and ichthyologic collections were the basis of the present study. The schools were mostly formed by the immature specimens ( TL = 75–169 mm; 1+ to 4+ age), the dominating group was presented by fish of 2+ age (86–94% of total abundance). The driving factors of such large under-ice swarming of Polar cod B. saida in the Arctic are discussed, particularly, the interactions of Polar cod development and the ice drift in the studied region. This species inhabits the overcooled water (−1.8°C) under the ice, so the scheme of the antifreeze agent producing in the fish blood is considered. We make assumptions about under ice migrations of Polar cod swarming.

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 score0.033
Threshold uncertainty score0.065

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.021
GPT teacher head0.220
Teacher spread0.199 · 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

Citations55
Published2013
Admission routes1
Has abstractyes

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