GROWTH PARAMETERS AND YIELD PER RECRUIT ANALYSIS FOR THE ARMOURED CATFISH Pterygoplichthys pardalis SAMPLED IN THE LOW REACH OF THE AMAZONAS RIVER
Bibliographic record
Abstract
Armoured catfish Pterygoplichthys pardalis is an endemic fish from the Amazon basin (Brazil) and currently is the top ten target species in the regional fisheries. A total of 1200 samples were collected monthly from March 2011 to February 2012 with an average length of 28 ± 2.57 cm and average weight of 441.57 ± 103.37 g. The growth stock parameters for this species (Wt = 0.431227 * Lt2.08637; M = 0.93 year-1; F-Estimated = 0.91 year-1; F-10 = 3.02 year-1; A0.95 = 7.31 years; K = 0.41 year-1; Tr = Tc = 1.92 years; Lc = 21.14 cm; L∞= 38.85 cm; W∞ = 869.76 g) and exploitation rate (E-Estimated = 0.50; E-10= 0.80) reveal that its stocks are not being overfished in the study area. The baseline information obtained in this study can help support fisheries management strategies of P. pardalis, especially regarding the potential implementation of a policy to increase landings of individuals larger than 22.3 cm length. However, before making a final decision, it is necessary to carefully examine the available information and evidence aimed at sustainable fishing management and conservation of their stocks, which is of great cultural, social and economic importance for Amazonian peoples.
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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 | 0.001 |
| 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".