Excursions along the Lennard Shelf Devonian carbonates, Canning Basin, Western Australia
Bibliographic record
Abstract
ABSTRACT The world-class Middle–Upper Devonian carbonate outcrops of the Lennard Shelf, Canning Basin, Western Australia, offer a unique opportunity to examine reefal carbonate shelf-to-basin evolution in response to multiple coeval extrinsic and intrinsic drivers. Variable styles of carbonate stratigraphic architecture and heterogeneity developed as a function of the interplay between long hierarchical accommodation trends, global biological crises, greenhouse-to-transitional climatic changes, and syndepositional tectonics. The linkage of reservoir-scale, shelf-to-basin carbonate expression to regional, seismic-scale architectures made possible by these pristine exposures allows the generation of conceptual models and predictive relationships that are relevant to steep-sided carbonate hydrocarbon reservoirs and plays. Furthermore, exquisite exposure of syndepositional fracture systems and their association with carbonate facies and position along the depositional profile provide templates for characterization of subsurface nonmatrix flow. In particular, the Lennard Shelf outcrops are excellent analogs for the age-equivalent Canadian Alberta Basin and Carboniferous reservoirs of the Pricaspian Basin in Kazakhstan; however, the breadth of insight contained within the Lennard Shelf outcrop belt is applicable to the greater understanding of reefal carbonate systems in general.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".