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Record W4412948471 · doi:10.31398/tpjf/32.1.2025-0007

Identification and Allometric Scaling of Megamouth Shark (Megachasma pelagios) Mother-Offspring Specimens from Dipaculao, Aurora, Luzon Island, Philippines

2025· article· en· W4412948471 on OpenAlexaff
Kyara Patricia Bueno, Mudjekeewis D. Santos, Jade Tiffany Rey, Princess Ann Tayag, Clien Yvan Ongkiatco, Arnel Andrew Yaptinchay

Bibliographic record

VenueThe Philippine Journal of Fisheries · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicIchthyology and Marine Biology
Canadian institutionsGovernment of Canada
FundersDivision of Human Resource DevelopmentScience Education Institute, Department of Science and Technology, Republic of the PhilippinesNational Fisheries Research and Development InstituteNational Science Council
KeywordsAllometryGeographyOffspringIdentification (biology)ZoologyFisheryBiologyEcology

Abstract

fetched live from OpenAlex

Megachasma pelagios, commonly known as the megamouth shark, is the lone extant shark species belonging to the family Megachasmidae and genus Megachasma. It was first described in 1978 by Taylor et al. (1983), with fewer than three hundred specimens recorded to date. Given its rarity and elusiveness, no pregnant or neonate megamouth sharks have ever been documented. On 14 November 2023, a freshly dead adult female megamouth shark carrying seven pups washed up on the shores of Barangay Ipil, Dipaculao, Aurora, Luzon Island, Philippines. This event has confirmed that megamouth sharks are ovoviviparous. Here, we establish the identity of the specimens using morphological and molecular methods and identify their morphometric differences through allometric analysis. Morphological identification was performed using available photo documentation and morphometric data, with results compared with published literature. On the other hand, the mitochondrial cytochrome c oxidase subunit 1 (MT-COI) gene was used for molecular identification. A phylogenetic tree was constructed using the Kimura two-parameter (K2P) model with 1000 bootstrap replicates. Allometric analysis was investigated using linear regression of each of the 19 morphometric trait measures against the total body length of the specimens. Based on morphological and molecular evidence, the results confirmed the identity of the stranded sharks as M. pelagios. Furthermore, morphological scaling of the mother vis-à-vis pups revealed that while some traits scale isometrically, the presence of negative and positive allometry in most traits indicates that the offspring are not completely isometric with the mother. Thus, it implies that the pups are morphologically distinct from the mother. Overall, this study provides a definitive identification of the stranded megamouth sharks, and the allometric measurements show new information on the basic biology of this rare fish species.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.560
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.009
GPT teacher head0.221
Teacher spread0.212 · 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.

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

Citations0
Published2025
Admission routes1
Has abstractyes

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