Influence of lunar phases on fish landings by gillnetters and trawlers
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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 | 0.001 |
| 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 it