Report of the International Ice Patrol in the North Atlantic Season of 2007
Bibliographic record
Abstract
services and ice conditions during the 2007 season, which marked the 95 th anniversary of the tragic sinking of RMS Titanic. Despite significant technological advances since 1912, icebergs remain a threat to mariners near the Grand Banks of Newfoundland. Following very light iceberg conditions in 2005 and 2006, during which a total of just 11 icebergs drifted south of 48°N, the icebergs returned in 2007, and IIP diligently monitored the drift and ultimate deterioration of some 324 icebergs south of 48°N, many of them carried by the in-shore branch of the cold Labrador Current. It is important to remember that IIP relies on many critical partnerships in the conduct of our important mission. The 2007 season allowed for more thorough operational testing and successful use of our synchronized iceberg database with the Canadian Ice Service (CIS), which was described in detail in last year’s report. IIP and CIS were honored to receive an Innovation Award from the state of Connecticut in 2007 for this advance in our collective operations. I am proud to report that the North American Ice Service (NAIS), an alliance between IIP, CIS and the U.S. National Ice Center (NIC), which was also described in our last annual report, continues to strengthen. In 2007 USCG Air Station Elizabeth City, NC and our NAIS partners helped IIP
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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 | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 0.003 |
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".