Recent advances in petrochronology: from dates to ages and rates of deep orogenic processes
Bibliographic record
Abstract
In order to decipher the prevalent processes active at depth in orogenic systems, their time sequence and their rates have to be assessed. This is essentially done via absolute dating of accessory and rock-forming metamorphic minerals. The interpretation of dates, now produced in high quantities and low uncertainties, with geochemical and textural information thanks to in situ dating techniques, into ages with a geological meaning, is based on sophisticated multi-disciplinary approaches. The wealth of data produced during the last decades in internal zones of mountain chains today questions some of the seminal concepts in geodynamics as well as in petrochronology. The concept of closure temperature [Jäger, 1967] but also the notions of metamorphic unit or metamorphic event are now to be considered in the light of campaign-style dating projects, that enable a comprehensive and statistical interpretation of age patterns from the mineral scale to the geodynamic process scale.
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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 | 0.001 |
| 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) | 0.004 | 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".