MétaCan
Menu
Back to cohort

Visual morphology and feeding behaviour of the daggertooth

2001· article· en· W2020268978 on OpenAlexaff
David W. Welch, Patricia M. Pankhurst

Bibliographic record

VenueJournal of Fish Biology · 2001
Typearticle
Languageen
FieldEnvironmental Science
TopicIchthyology and Marine Biology
Canadian institutionsFisheries and Oceans Canada
Fundersnot available
KeywordsPredationBiologyMesopelagic zoneFleshFish <Actinopterygii>Pelagic zoneZoologyMorphology (biology)FisheryCrypsisAnatomyEcology

Abstract

fetched live from OpenAlex

Dissection of freshly eaten prey suggests that the North Pacific daggertoothAnotopterus nikparinisever the spine of small prey with a single slashing blow. The bite marks indicate that the immobilized prey is manipulated and swallowed head first. Frequent evidence suggests daggertooth wound prey which are too large to consume whole by cutting off strips of flesh. In either case the wounds consist of a single prominent slash mark on one side and a series of inconspicuous marks on the opposite side. Retinal morphology provides supporting evidence that daggertooths are visual ambush predators that attack prey from below, and should be considered as epipelagic rather than mesopelagic fish. Visual acuity appears to be high, suggesting that frequent attacks on prey too large to be killed immediately is not error, but a well‐defined feeding behaviour. The daggertooth may be a significant source of mortality for economically important fish such as all sizes of salmon.

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 score0.012
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.011
GPT teacher head0.257
Teacher spread0.246 · 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

Citations7
Published2001
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Fish BiologySame topicIchthyology and Marine BiologyFrench-language works237,207