Bibliographic record
Abstract
Two major paleophytogeoprovinces based on the palynological record at the genus or species level and at the palaeocommunity level are recognized for the Danian of Argentina.The presence of Verrustephanoporites simplex (Ulmaceae) pollen in the north is associated mostly with tropical and subtropical families, while Nothofagidites pollen in the south is mostly associated with temperate families.In the centralnorthwest of Argentina, a subprovince with elater bearing pollen (Mtchedlishvilia) is recognized.Warm and humid climatic conditions are indicated for the Ulmaceae Phytogeoprovince and more temperate conditions for the Phytogeoprovince of Nothofagidites.Tropical to subtropical communities are recognized at the Early Eocene, being later replaced by "mixed forest" with both Neotropical and Antarctic elements, which occupied most of the emerged lands.Great paleogeographic and tectonic events affected Patagonia during the Oligocene and even more clearly at the Early Miocene, when an expansion of open vegetation patches with Chenopodiaceae, Ephedraceae, Asteraceae and Poaceae is recorded.These changes are interpreted as a consequence of strong arid trends related to the final uplift of the Andes, the formation of the West Antarctic ice cap, intensification of the cold Humboldt Current and the South Pacific Subtropical Anticyclone, as well as the beginning of the continental glaciation in Patagonia.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".