Devonian reefal carbonates of the Lennard Shelf, Canning Basin, Western Australia: Field guide for a classic carbonate outcrop of the world
Bibliographic record
Abstract
The world-class Middle-Upper Devonian carbonate outcrops of the Lennard Shelf, Canning Basin, Western Australia, allow for examination of long-term reefal carbonate shelf-to-basin systems within a variety of settings and contexts, including hierarchical accommodation trends, global biological crises, greenhouse-to-transitional climatic changes and syn-depositional tectonics. This complex Devonian record contained within the Lennard Shelf outcrop belt has spurred, and will continue to promote, research that advances the broader understanding of carbonate systems, highlights of which include: 1) sequence development across a long-term backstepping-to-progradational platform evolution; 2) ecological, depositional and geochemical expressions related global biotic crises; 3) platform-to-basin facies distributions and stratal architecture related to an interplay of carbonate controls; and 4) the characterisation and prediction of early-formed fracture networks in a variety of settings. The relationships between fine-scale, shelf-to-basin carbonate heterogeneity and seismic-scale stratigraphic architectures demonstrated in these well-preserved exposures also allows for the development of predictive conceptual models of relevance to carbonate hydrocarbon reservoirs in the age-equivalent Canadian Alberta Basin and younger Carboniferous reservoirs of the Pricaspian Basin in Kazakhstan.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.048 | 0.014 |
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".