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Record W2415667579 · doi:10.5376/ijms.2016.06.0022

Study on Abundance, Breeding and Growth of the Ocypodide Crab <i>Dotilla Blanfordi</i> in Karachi Coast, Pakistan

2016· article· en· W2415667579 on OpenAlexvenueno aff
Rashida Qari, Rana Manzoor, Saima Haider, Meher Fatima

Bibliographic record

VenueInternational Journal of Marine Science · 2016
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFish Biology and Ecology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsFisheryAbundance (ecology)BiologyGeographyAnimal science

Abstract

fetched live from OpenAlex

The samples of Ocypodidae crab Dotilla blanfordi were collected on monthly intervals for the period of March 2007 to February 2008 from supra tidal zone of two different shores of Karachi coast i.e., Clifton and Korangi Creek. Sex ratio, population structure and ecology of these crabs were determined. For statistically analyzing the data 100 samples were taken randomLy in each month for each species from each site and measured their carapace length (C.L), carapace width (C.W), chela length (Ch.L), abdominal length (Ab.L) and abdominal width (Ab.W). Significant seasonal variations were observed in the abundance of total crabs sampled at Clifton and Korangi Creek of Karachi Coast.

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 score0.069
Threshold uncertainty score0.138

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)0.0010.000

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 head0.015
GPT teacher head0.254
Teacher spread0.238 · 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

Citations3
Published2016
Admission routes1
Has abstractyes

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