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Record W4213310928 · doi:10.24002/biota.v15i3.2601

Penggunaan Operkulum dalam Penentuan Umur pada Rhinoclavis sinensis Gmelin 1791 (Gastropoda: Cerithiidae)

2019· article· en· W4213310928 on OpenAlexaboutno aff
Felicia Zahida, Jusup Subagja

Bibliographic record

VenueJournal of Biota · 2019
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMollusks and Parasites Studies
Canadian institutionsnot available
Fundersnot available
KeywordsOperculum (bryozoa)BiologyAnatomyDorsumGastropodaPopulationZoologyMedicine

Abstract

fetched live from OpenAlex

Age determination of the sample specimen is very important for population dynamic research of R. sinensis (Gastropoda : Cerithiidae). Operculum is a “hard” part stick on the dorsal portion of the foot of gastropods. Operculum appeared on the day of the snails are born and have their own specific shape, size, and materials composition. The aim of this research was to describe the use of operculum in age determination of R. sinensis. The method used in this research was: the operculums were soaked into saturated sodium hydroxide, washed and mounted them in Canada balsam, and observed using binocular microscope. Regression analysis was used to find the relationship between length of operculum to length of shell, and number of adventicious layers of operculum to length of shell. The research resulted that the length of operculum was comparable with the shell length, with the regression line of Y=0.113X +1.898 (R2=0.857). The growth of adventitious’ layers of the operculum coincided with the growth of the shell that in the second year, the growth of adventitious layers was two layers a year. At the age of three and four, the growth was one layer a year. During the fifth, sixth and seventh years, the growth was only a layer within three years. The regression line was Y=0.168X (R2=0.872).

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.008
GPT teacher head0.201
Teacher spread0.193 · 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

Citations0
Published2019
Admission routes1
Has abstractyes

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