Lithofacies classification and sedimentary description of the Khüren Dukh (Choir Basin) fossil site
Bibliographic record
Abstract
In this study, we redescribe the geology of fossil-bearing rocks, exposed in the Lower Cretaceous Khuren Dukh locality. This study is based on new data collected during the Mongolian Expedition (ME) in 2019. Previously, the Khuren Dukh Formation at the Khuren Dukh locality had been subdivided into three members (lower, middle, and upper) based on textural features and sedimentary structure of dominant lithofacies assemblages. This study shows that the lower member can be further subdivided into two major lithofacies associations (lithofacies association-1 and 2). Association-1 is characterized by a combination of the interbedded crossbedding of small-grained pebbles and coarse-grain-size sandstones. Association-2 consists of a medium to coarse grained, white-grayish sandstone, which is characterized as thick and structureless. A precise contact boundary between these two associations is ambiguous, however, it is distinguishable depending on the granular types and the color of the sediments regarding the studied areas. A horizontally oriented thin layer of dolomite and a carbonate black-grayish mud is exposed at the north of the study area and has been interpreted as the middle member of the Khuren Dukh Formation. We interpret this member as a lakebed (Figure-6A) and suggest additional geochemical work would contribute greatly to understanding the nature of the lake. Хүрэн Дух (Чойрын Хотгор) олдворт газрын хурдас хуримтлалын литофацийн ангилал
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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 | 0.002 | 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) | 0.002 | 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".