Influence of lunar phases on fish landings by gillnetters and trawlers
Bibliographic record
Abstract
Observations made on new moon, full moon and during both quarters revealed variations in total catch as well as individual species catch in gillnetters and trawlers. Gillnet catches of sardines and mackerels showed a gradual increasing trend from new moon to full moon and then a decline towards the new moon whereas, barracuda and tuna catches exhibited an increasing trend from full moon to new moon. The catches of seerfish and sailfish were high during full moon to new moon quarter and were nominal during full moon. In trawl catches, during the first half of new moon and full moon days, Fenneropenaeus indicus and Penaeus semisulcatus were caught in large numbers and Fenneropenaeus merguiensis dominated the later half. Metapenaeus monoceros and Penaeus monodon were caught in lesser quantities. Maximum catch per unit effort (CPUE) for gillnetting and trawling were recorded during new moon (52.35 and 9.97 kg h-1) and minimum values during full moon quarter (2.5 and 1.63 kg h-1). Larger size groups were dominant during new moon for all species and the differences were significant (p<0.01). Significant variations in total catch during different lunar phases were noticed for fishes caught by gillnetting as well as the shrimps caught by trawling.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.002 | 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".