Recruitment Pattern, Virtual Population Analysis (Vpa) and Exploitation Status of <i>Lethrinus Lentjan</i> (Lacepede, 1802) Exploited in Thoothukudi Coast, Tamil Nadu, India
Bibliographic record
Abstract
A detailed fishery characteristic of Lethrinus lentjan was carried out from July 2011 to June 2012. The data were collected on weekly intervals for studying the length-weight relationship, growth parameters, recruitment pattern, spawning seasons, fishing pressure and MSY. A total of 5062 specimens of L. lentjan are collected during the study period to estimate the above said parameters. The total annual catch of L. lentjan was 7799.208 tonnes are obtained by 52,210 boat days. The CPUE was found to be high during the month of October and December, for L. lentjan and estimated MSY is 10683.84. The difference between the annual catch and MSY is 2884.632 tonnes. Study on maximum sustainable yield indicated that L. lentjan is underexploited. To maximize the catch, an increase in the fishing effort to 36.98 % with 31999 boat days may be made, the species, to get the Maximum Sustainable Yield.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".