Integrated geophysical appraisal of crustal architecture in the eastern Lachlan Orogen
Bibliographic record
Abstract
Forward modelling of potential field data, combined with new geological mapping and deep seismic reflection transects acquired by the Australian Geodynamics Cooperative Research Centre (AGCRC), has led to testing of robust crustal architectural models for the eastern Lachlan Orogen of New South Wales. This integrated analysis has led to new subsurface inferences unlikely to be deduced solely from any of the individual datasets used.The overall Palaeozoic history of the eastern Lachlan Orogen implied by the integrated analysis of geophysical and geological datasets, involves: formation of an Ordovician oceanic island arc ;early Silurian thin-skinned east-directed overthrusting of a continental backarc basin over the arc; generation of Silurian granites due to crustal thickening; early Silurian to early Devonian rifting, resulting in the dismemberment of the deformed arc-basin complex, and formation of a series of arc fragments with intervening thin basins; tight, asymmetric folding of these basins during the Early to Mid Devonian, with some granite magmatism; extensive Carboniferous thin-skinned thrust stacking involving both east-, and west-directed transport, and slicing of the upper structural level of earlier antiformal stacks, together with granite roof zones; and final granitic arc magmatism during amalgamation with the New England Orogen.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".