A new microstructure model for clayey sediments including microfossils
Bibliographic record
Abstract
Abstract The nature and microstructure of most clayey sediments is largely influenced by the depositional history: its source and the deposition process, sedimentation rate, temperature, diagenesis and porewater chemistry. It is also impacted by the composition of the particles making up the skeleton of the soil, including the type of clay minerals, and the presence and abundance of microfossils such as diatoms, foraminifera and coccoliths. The microstructure of a soil consists of four basic elements: clay flocs, particles, aggregates and microfossils. Together, they present four types of pore space: (1) intra-aggregate and (2) inter-aggregate for non-fossil particles, (3) skeletal and (4) intra-skeletal for microfossils. Considering the four types of pore space, the porosity index (I n) is adapted to include the role of microfossils (I nf). Finally, this paper presents examples of SEM images of clayey soils which have been deposited in various aquatic environments (glacial or not) in support of a new integrated microstructure model.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".