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Record W7100855858

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2014· article· en· W7100855858 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine and fisheries research
Canadian institutionsnot available
Fundersnot available
KeywordsOverwinteringPopulationStock (firearms)SeasonalityChannel (broadcasting)
DOInot available

Abstract

fetched live from OpenAlex

Cod (Gadus morhua) from several populations overwinter in the Cabot Strait area at the entrance to the Gulf of St Lawrence. We examined the utility of vertebral number for estimating the stock composition of cod aggregations in this overwintering area. Stock-specific mean vertebral numbers were estimated using samples obtained in the 1994–1997 spring (spawning) and summer (feeding) seasons when the populations were geographically separated. Mean vertebral number was significantly lower in the southern Gulf population than in each other population (northern Gulf, southern Newfoundland, Sydney Bight, eastern Scotian Shelf), but did not differ significantly among the other populations. Stock-specific vertebral counts were stable over the study period and, for three of the five stocks (including the large migratory Gulf of St Lawrence stocks), over several year classes. Stock composition of the overwintering aggregations was estimated using samples obtained from synoptic bottom-trawl surveys of the Cabot Strait area in January of 1996 and 1997. In both years, mean vertebral number was significantly lower along the south flank of the Laurentian Channel in NAFO (Northwest Atlantic Fisheries Organization) Divisions 4T and 4Vn

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.332
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0030.001
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.6680.500

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 head0.009
GPT teacher head0.218
Teacher spread0.209 · 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.

Study designNot applicable
Domainnot available
GenreOther

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
Published2014
Admission routes1
Has abstractyes

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