Radiogenic isotope ratios (Sr, Nd, Pb, Hf) of volcanic rocks from the Galapagos Archipelago / Galapagos Islands
Bibliographic record
Abstract
This dataset contains Sr, Nd, Pb, and Hf isotopic ratios of volcanic rocks from the Galapagos Archipelago, selected from across the region to be representative of the geochemical variation in the hotspot system. The goal of the project is twofold: a) to assemble a dataset of radiogenic isotope ratios performed at a high and consistent level of precision; and b) to compare radiogenic isotope ratios with recent Hawaii isotopic signatures (e.g., Weis et al., 2011). To build a complete dataset, we selected the samples from across the archipelago from existing collections, in addition to new samples from Espanola, San Cristobal, and Santa Cruz Islands. Any samples that were missing published major and full suites of trace element data were also analyzed for those missing data (submitted separately). All of the radiogenic isotope ratios were performed at the Pacific Centre for Isotopic and Geochemical Research at the University of British Columbia in Vancouver, Canada following procedures described in Weis et al. (2006, 2007) and Nobre Silva et al. (2013).
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 0.017 |
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".