Hierarchical organization of strata within a high-frequency Milankovitch-scale fluvial sequence, cretaceous Ferron Notom delta, south central Utah, USA
Bibliographic record
Abstract
Detailed characterization of fluvial strata or fluvial reservoirs can be achieved by the integration of all the facies within such succession. In this study we investigate the stratigraphic organization within a previously defined ~ 100,000 year non-marine sequence. Detailed description and correlation of channel facies, floodplain facies, paleosols, and coals reveal a hierarchical organization of strata, which include fluvial aggradation cycles, fluvial aggradation cycle sets, and 3 higher frequency sequences. Fluvial aggradation cycles in the succession are represented by simple floodplain bedsets or single channel storeys that are capped by immature paleosols or erosionally truncated. Fluvial aggradation cycle sets consist of multiple fluvial aggradation sets that are capped by relatively mature paleosols as well as coals and carbonaceous strata, or may be erosionally top-truncated. Fluvial sequences consists of multiple fluvial aggradation cycle sets that are bounded by extensive (or regional) erosional surfaces or surfaces of non-deposition that are represented by the most mature paleosols in the entire succession. Fluvial aggradation sets are interpreted as representing floodplain or channel depositional events that are followed by short-lived abandonment and immature paleosol development. They span not more than 2000 years. Fluvial aggradation cycle sets represent multiple episodes of floodplain and channel deposition followed by a relatively long period of abandonment and paleosol development, which is attributed to long-term river avulsions. Marine trace fossils and dinocysts associated with coals beds that cap fluvial aggradation cycle sets suggest marine transgression due to compactional subsidence or sea-level rise. Fluvial aggradation cycle sets span not more than 14, 000 years. Fluvial sequences are attributed to higher frequency Milankovitch-scale base-level rises and falls in sea-level.
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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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.013 | 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".