Bibliographic record
Abstract
The purpose of this investigation was to examine the temporal and environmental (e.g. temperature, tide height) patterns in the presence and abundance of resident and migratory fishes, as observed in the fish catches at two Minas Basin intertidal weirs during April – August 2013. Sampling was conducted weekly during daytime low tides from weirs in Bramber, NS and Five Islands, NS. Diel patterns were examined during two one-week periods during late July and early August at the Bramber site. Pelagic fishes, especially those of the Clupeidae family, dominated the catches at both weirs. Harbour porpoise presence near intertidal weirs was low during summer, especially on the north shore.Day/night sampling was conducted on 14 consecutive low tides during 12-19 July at Bramber. Overall, the study showed that intertidal weirs are useful sampling platforms for assessing general patterns in the presence and abundance of fishes in Minas Basin and can strengthen on-going environmental monitoring near tidal energy development sites. The purpose of the study was to examine fish catches in intertidal weirs in Minas Basin as a possible analogue for patterns in the abundance of fishes that travel though the Minas Passage and FORCE test area to spawning rivers or to feed in Minas Basin during the spring and summer months. Fish data of interest include species identification, size, and approximate abundance in weir catches during April to September 2013. Weir catch data can be used to examine temporal patterns in the presence and abundance of resident and migratory fishes.
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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".