Bibliographic record
Abstract
This is the OBIS extraction of the Ocean Tracking Network and Dalhousie University (DAL) Frobisher Bay, Canada, 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=FRO). Abstract:This study described the marine migration distribution, movements, diet, mortality and duration of anadromous Arctic char relative to migration temporal phase and environmental conditions (salinity, temperature and prey availability, tides) in inner Frobisher Bay (63o N 68o W), a macrotidal estuary on southeastern Baffin Island, Nunavut, Canada. Of the 33 char acoustically tracked in 2009, 15 (45%) ventured beyond 10 km of either of the Armshow or Sylvia Grinnell river mouths and 9 (27%) were detected in both rivers’ estuaries. Marine mortality was estimated at 24.2% with 62.5% of the mortalities occurring within the Sylvia Grinnell River estuary. Assuming an emigration date of June 18th in both 2008 and 2009, marine migration duration was 46 to 78 days. Mean durations were 59±6 in 2008, 65±7 in 2009 and 63±7 days combined. Tracking revealed migrant movements into the intertidal zone with the flood and ebb of the tide. Most detections were in surface waters (0 to 3 m). Inter/sub-tidal movements and consecutive repetitive dives (maximum 52.8 m) resulted in extreme body temperature shifts (-0.2 to18.1oC). Approximately half of intertidal and subtidal detections were between 9 to13oC, and 1 to 3oC, respectively. Stomach contents and deep diving suggested feeding in both inter/sub-tidal zones. We suggest that char tolerate cold water at depth to capture prey in the subtidal zone, then seek warmer water to enhance feeding/digestion physiology.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.226 | 0.071 |
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".