Analysis of Iceberg, Pack Ice, and Ocean Current Dynamics Offshore Newfoundland and Labrador From Satellite-Tracked Buoys During the 2014 Ice Season
Bibliographic record
Abstract
Shipping operations along the coasts of Newfoundland and Labrador associated with Grand Banks oil and gas production, as well as mining operations in Labrador, may be exposed to potentially hazardous ice conditions. Possible future development of oil and gas reserves offshore Labrador will also be exposed to risk associated with iceberg and pack ice conditions. Improved understanding of the characteristics of ice dynamics and metocean forcing mechanisms behind them will lead to more efficient operational planning and safer operations. Accordingly, CARD has initiated a long-term project to collect and analyze data on the pack ice and iceberg dynamics in these regions. This paper presents an analysis of the drift of pack ice features and two icebergs tagged with satellite-tracked buoys during April-August and July-August 2014, and characterizes their drift in the context of the winds and currents driving their dynamics.
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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 | 0.000 |
| 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".