The trace metal content of modern and ancient peritidal and shallow subtidal dolomites: significance and systematics
Bibliographic record
Abstract
Dolomitization has traditionally been regarded as being related to the interaction of thermally active Mg-rich fluids with poorly ordered carbonate precursors of elusive origin. Our ideas on how such precursors form have evolved rapidly since the late 1990s, and microbes are now considered key players — i.e., by providing nucleation sites and due to their capacity to regulate pore water alkalinity. Outstanding questions include what triggers the low-temperature reactions conducive to dolomite stabilization and whether or not subsurface chemolithotrophs participate in the catalysis of these reactions. Here these aspects are evaluated throughout three independent but complementary textural and spectroscopic examinations of shallow marine dolomites. First, fine-scale analyses of modern carbonate cements point to biologically mediated manganese and sulfur co-recycling as a necessary control for dolomite stabilization. Second, similar analyses of mid-Cretaceous dolomitic marlstones suggest that in the Aptian-Albian epicontinental sea of northern South America, dolomite precipitation was linked to the utilization of metals and sulfur for organic matter respiration. Reactants were transported to the extended shallow marine setting in association with episodic orbital perturbations, which also triggered high organic matter productivity and burial, and ultimately led to interstitial organogenic dolomite formation. Third, stromatolitic rocks from the Paleoproterozoic Gunflint Formation (Ontario, Canada) were interrogated in order to interpret the variable redox states of pore waters at the time of stromatolite accretion and diagenetic mineral stabilization. This study shows that diagenetic shifts associated with exogenous water mixing, together with variable burial and exhumation histories, led to the development of the temporarily and spatially restricted reaction fronts responsible for the pervasive replacement of early formed carbonate cements. Such diagenetic complexity adds difficulty to the interpretation of paleomarine geochemical conditions. Overall, this work reveals that the trace metal content of shallow marine dolomite provides information useful for the evaluation of redox conditions that govern mineral authigenesis. However, autocycles and their effect on the activity of subsurface microbes, and thus over the saturation state of minerals in coastal sediments should be carefully considered prior to regional scale paleoceanographic interpretations.
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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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".