Evolution of the location of slow/hot basal mantle structures and kimberlite eruptions.
Bibliographic record
Abstract
<p>Kimberlite eruption locations (stars) sampled in 20 Myr increments from ref. [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0268066#pone.0268066.ref022" target="_blank">22</a>] continent outlines from ref. [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0268066#pone.0268066.ref038" target="_blank">38</a>] (white transparent polygons) and lithosphere thicker than 150 km derived from ref. [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0268066#pone.0268066.ref005" target="_blank">5</a>] (dark grey transparent polygons), all reconstructed at 120 Ma (<b>A, E</b>), 160 Ma (<b>B, F</b>), 240 Ma (<b>C, G</b>) and 360 Ma (<b>D, H</b>) with reconstruction M21NNR. The background shows cluster maps with basal mantle structures in pink for tomographic model S40RTS (<b>A-D</b>) and for mantle flow model Case 2 (<b>E-H</b>). The intersections of white and pink areas are high-potential regions for kimberlites. Labels: <b>A</b>/ “Si”: Siberia; <b>B</b>/ “An”: Antarctica; <b>C</b>/ “Afr”: Africa, “Au”: Australia, “Ca”: Canada; <b>D</b>/ “N.Am”: North America. This figure was created with GMT6 [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0268066#pone.0268066.ref047" target="_blank">47</a>] and the Global Self-consistent, Hierarchical, High-resolution Geography Database (GSHHG) coastlines are republished from [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0268066#pone.0268066.ref048" target="_blank">48</a>] under a CC BY license, with permission from Paul Wessel, original copyright 1996.</p>
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.163 | 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 teacher head, 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".