OTN Loan - Salmonids in Trondheimsfjorden
Bibliographic record
Abstract
This is the OBIS extraction of the Ocean Tracking Network and Norwegian University of Science and Technology (NTNU) OTN Loan - Salmonids in Trondheimsfjorden, consisting of the release tagging metadata, i.e. the location and date when the tagged animal was released, and summarized detection events of tagged individuals. If readers are interested in the source dataset they may also inquire with the project PIs as listed here or on the OTN web site (https://members.oceantrack.org/project?ccode=V2LTROD). Abstract:The aim of the Trondheimfjord project is to get better knowledge of marine migrations of anadrome species (Atlantic salmon, Brown trout) from rivers draining to the Trondheim Fjord. The fjord is a national salmon fjord (a kind of MPA), which means that salmon aquaculture is prohibited. But outside the fjord, one of the most intensive areas for open net pen salmon aquaculture in Norway is located. The two overall hypotheses to test are that a) Atlantic salmon only spent few days in the protected fjord system before heading out to the open sea and b) that brown trout stay within the protected fjord system during the whole marine feeding season. Additionally, we will explore in more details the individual migratory behaviour of the tagged fish and related that to physiological status, previous growth rates, sex and body size. The outcome will be crucial knowledge for regional coastal zone planning and will be of high value as background information when the Norwegian traffic light system, which regulate the aquaculture production, will be evaluated in the years to come.
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.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.020 | 0.020 |
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".