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Record W2945702952 · doi:10.1016/j.aqrep.2019.100190

Juvenile geoduck (Panopea generosa) predator protection with tubes: Assessing effects of tube diameter, length, and mesh size on growth and survivorship

2019· article· en· W2945702952 on OpenAlexafffundabout
Christopher M. Pearce, Seán Williams, Laurie Keddy, John Blackburn

Bibliographic record

VenueAquaculture Reports · 2019
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine Bivalve and Aquaculture Studies
Canadian institutionsFisheries and Oceans Canada
FundersFisheries and Oceans Canada
KeywordsIntertidal zoneJuvenileAnimal scienceBiologySurvivorship curveEcology

Abstract

fetched live from OpenAlex

Intertidal culture of the Pacific geoduck clam (Panopea generosa) involves planting juveniles in the sediment in tubes covered with mesh for predator protection. We examined the interactive effects of tube diameter (10.2 and 15.2 cm), tube length (25.4 and 30.5 cm), and mesh size (6 and 12 mm) on percent shell-length increase, percent wet-weight increase, and percent survivorship of cultured juvenile geoducks (mean shell length ± SD = 29.6 ± 4.8 mm) over 12 months. Percent increase in shell length and wet weight were both significantly affected by the main effects of tube diameter and mesh size, as well as the interaction between the two factors. Shell length was also significantly affected by the main effect of tube length. Geoducks were significantly shorter and lighter in the 10-cm/6-mm (diameter/mesh) treatment than in the 10-cm/12-mm, 15-cm/6-mm, and 15-cm/12-mm treatments. The 25-cm-long tubes were associated with significantly longer (but not heavier) individuals than the 30-cm ones. Average survivorship (±SE) ranged from 38.3 ± 7.1% to 55.0 ± 6.5% (mean ± SD: 47.7 ± 2.5%) in the eight treatments and was not significantly affected by any main effects or interaction terms. The results have implications for commercial intertidal geoduck culture in British Columbia (Canada) and Washington (USA) where clams are protected with solid plastic tubes.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.096
Threshold uncertainty score0.773

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.007
GPT teacher head0.208
Teacher spread0.201 · 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 teacher head, 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

Citations5
Published2019
Admission routes3
Has abstractyes

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