Li/Ca of modern brachiopods: A potential paleoseawater thermometer
Bibliographic record
Abstract
Lithium in marine carbonates may hold key information about their temperature of formation and thus of the thermal history of ambient seawater. Here, we present Li/Ca, Mg/Ca, and Sr/Ca results of modern rhynchonelliformean brachiopods from high to low latitudes, shallow to deep and warm to cold seas covering the world's oceans. Craniids as a group incorporate Li into their shell at a faster rate than any other brachiopod group, and due to their paucity will not be considered contributing material. The primary layer calcite of rhynchonelliformean brachiopods, due to the highly variable nature of its Li content, is deemed unsuitable as a proxy. In contrast, the Li/Ca ratios of fibers of the secondary layer within Terebratulida and Rhynchonellida, in conjunction with the innermost calcite of the Thecideida, appear to be free of major influence by growth rate, water depth, seawater pH and salinity. We compiled Li/Ca thermometers based on: 1) second-layer fiber-calcite Li results [2LB, N G = 57], and 2) with additional Li/Ca results of thecideide calcite [2LBT, N G = 60]. The proposed Li/Ca-brachiopod seawater thermometers (linear 1 and 2), which are independent of seawater chemistry, are as follows: T°C = 32.85 (±0.52) – 0.670 (±0.014) Li/Ca 2LB (μmol/mol) r 2 = 0.978 (1) T°C = 34.73 (±0.37) – 0.716 (±0.010) Li/Ca 2LBT (μmol/mol) r 2 = 0.987 (2) Brachiopods are important biocalcifiers especially during the Paleozoic, and thus, the proposed Li/Ca thermometer may be an invaluable supplementary tool to the oxygen and clumped isotope thermometers in characterizing its seawater and climate history. • Li/Ca results for a large modern brachiopod population. • The Li/Ca results are shell architecture specific. • a Li/Ca paleotemperature equation was defined. • Li/Ca-temperatures are validated against oxygen isotope temperatures. • Li/Ca paleotemperature equation may be applied to fossil brachiopods.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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".