IDENTIFICATION AND BIOLOGICAL CHARACTERISTICS OF GOBIIDAE IN COASTAL AREA OF THE SOUTHERN CASPIAN SEA (GUILAN PROVINCE)
Bibliographic record
Abstract
We selected five sampling sites to identify Goby species in the southern Caspian Sea (Guilan province). Bottom trawling was used for the sampling from September 1999 to August 2000. Results showed that the Goby specimens in this area belong to the genus Neogobius and Benthophilus. Identification of the species was carried out by Dr. Coad of the Natural History Museum of Canada. Four species from the Neogobius were identified which were as follows: N. caspius, N.fluviatilis, N. melanostomus and N. kessleri. Two species from the genus Benthophilus were identified as B. stellatus and B. ctenolepidus., As for the biological characteristics of the N. caspius, we found that the average total length (TL) of N. caspius samples was 112.98±19.87mm and their average total weight (TW) was 16.39±6.21 grams. Age composition of the samples showed the fish were in age groups 1-3 years old with the two years old fish being dominant. Average absolute fecundity was 1031.91±598 eggs. Food items of the species based on the gut content were from Carididae, Mysidae, Cumacae, Hypaniula, Chironomidae, Nematoda, Abra, Gammaridae, Mytilaster, Bivalves and fish. Evidence of carnivore behavior was observed in some specimens. The most frequent food items were Cumacae, Abra, and Gammaridae respectively. The Cumacae was mostly observed in the gut of 1 and 2 years old specimens while Abra was observed mostly in the gut content of 3 years old specimens. Condition factor and feeding rate were highest in the 1 year old class. We found that with increase in fish age, these parameters declined. However, again at the age of 3, the parameters showed a slight increase. Relative gut length also increased from 0.97 in the age class 0+ to 1.38 in the age class 3+.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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".