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Record W2157124142 · doi:10.1139/z03-180

Population characteristics of abundant bivalves (Mollusca, Vesicomyidae) at a sulphide-rich seafloor site near Lihir Island, Papua New Guinea

2003· article· en· W2157124142 on OpenAlexvenueno aff
Jens Stecher, Verena Tunnicliffe, Michael Türkay

Bibliographic record

VenueCanadian Journal of Zoology · 2003
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicMarine Biology and Ecology Research
Canadian institutionsnot available
FundersBundesministerium für Bildung und Forschung
KeywordsIntertidal zoneMolluscaRange (aeronautics)BiologyHabitatCoralPopulationSeamountBiomass (ecology)RidgeEcologyOceanographyGeologyPaleontology

Abstract

fetched live from OpenAlex

Extensive beds of sulphide-habitat-associated clams are present on the summit of Edison Seamount (1450 m depth) near Lihir Island, Papua New Guinea. These vesicomyids represent a new species. Imagery indicates that two major fields are several hundred metres in size. Four large grabs yielded over 270 live clams up to 23 cm in length plus many shells. The size structure of the populations suggests that settlement occurs in cohorts and that successful recruitment occurs mostly in areas with few adult clams. Dead juveniles were most abundant in the grabs with dense adults. Images from a towed camera sled included scales to allow density estimates that range up to 240 clams/m2(in small patches) with sizes averaging around 16.5 cm in length. A biometric relationship for length to wet mass allows calculation of estimates of biomass represented by clams measured in photographs. The average biomass value in Lihir clam beds is 13.3 kg/m2, with maximum values over 29 kg/m2(wet mass including shells). We compare these values with those of other studies that retrieved fewer specimens or imagery. We suggest that several overestimates populate the literature but that values around 30 kg/m2rival the biomass of intertidal bivalve beds.

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 score0.036
Threshold uncertainty score0.071

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)0.0020.000

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 head0.013
GPT teacher head0.211
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

Citations12
Published2003
Admission routes1
Has abstractyes

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