Piston cores improve understanding of deep Arctic Ocean
Bibliographic record
Abstract
Recent proposals for deep Arctic Ocean drilling [COMPLEX, 2000; JOIDES, 2001] are significant steps toward an eventual understanding of the geologic framework, plate kinematics, and Cretaceous and Cenozoic environmental history of the north polar ocean. Because the proposals are subject to a variety of fiscal uncertainties, however, deep drilling in the ice‐covered ocean could be years away from initiation. However, even in the absence of drilling, significant data concerning the geologic framework and Cretaceous‐to‐Eocene and late Cenozoic paleoenvironment of the Arctic Ocean basin have developed from piston cores collected from crests and flanks of Arctic Ocean ridges. While deep drilling is needed to test and amplify the commonly incomplete piston core record, some piston cores already have acquired firm data on lithology age, and paleoenvironment of Cambrian‐to‐Tertiary bedrock in parts of the Alpha, North wind, and Lomonosov Ridges (Figure l), and additional piston coring may be the best choice for immediate additional Arctic Ocean research.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".