Scientific network to decipher crustal evolution of the Arctic
Bibliographic record
Abstract
The tectonic evolution of the regions in and around the Arctic remains highly debated due to a lack of geologic knowledge, the region's geologic complexities, and the logistical difficulties of working at extreme latitudes. For example, the northward continuation of Paleozoic (∼545‐to 250‐million‐year‐old) mountain belts is predicted yet unrecognized, and the tectonic development of the Canada Basin—which defines the nature of the crust in and around the Arctic—is still debated, partly because few research projects are regional in scope or link the submarine and subaerial environments. This has led some to speculate, for example, that oceanic crust underlies the entire Amerasian Basin, whereas others indicate a much more limited extent within the Canada Basin. A contributing factor in the development of such conflicting hypotheses is the traditional segregation of land‐and marine‐based researchers: Over the past several decades, Arctic campaigns have conducted marine, aerogeophysical, and geological investigations [e.g., Lawver et al., 2010], but few of these have integrated onshore and offshore environments. To address this shortcoming, a new multinational, multidisciplinary science network called the Circum‐Arctic Lithosphere Evolution (CALE) project seeks to integrate onshore geology with offshore geophysics in the Earth's northernmost regions.
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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 | 0.007 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.007 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.019 | 0.007 |
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".