Constraining The Marine Environments Of The Cambrian Metazoan Radiation
Bibliographic record
Abstract
Major advances have been made in understanding the biological aspects of the Proterozoic/Phanerozoic transition, but Earth’s physical environment over this interval is poorly constrained. In particular, there are no quantitative constraints on early Cambrian sea temperatures. The stable oxygen isotope ratio (δ18O) from fossil biominerals is a widely used proxy for ocean temperatures, but a dearth of Cambrian biomineral δ18O data has left a substantial data gap coinciding with the evolution of animal-rich ecosystems. \nCarefully selected phosphatic ‘small shelly fossil’ (SSF) taxa from three coeval sites in the UK, Morocco, and Canada were examined as potential sources of early Cambrian biomineral δ18O data. A rigorous protocol for assessing the isotopic preservation of SSF biogenic phosphate was established that considered the microstructural, ultrastructural and chemical preservation of visually distinct SSFs. Subsets of SSFs identified as pristine or altered, distinguishable under optical microscopy, were found to be isotopically distinct, with pristine SSFs isotopically heavier than altered SSFs. Well-preserved SSFs yielded δ18O values consistent with geological evidence for a Cambrian greenhouse world, similar to Mesozoic and Cenozoic hothouse climates. Specifically, these data suggest that early Cambrian high latitude (Avaloian) sea surface temperatures (SSTs) were approximately 23 °C and low laititude (Laurentian) SSTs approximately 35 °C. These data provide the first quantitative constraints on early Cambrian sea surface temperatures. \nThese isotopic SSTs were used to calibrate FOAM general circulation model (GCM) simulations set up to test a range of Cambrian pCO2 levels and continental configurations. The calibrated GCM simulations were compared to a new database of climatically sensitive lithologies, with data/model agreement scored according to the environmental conditions required for particular lithologies to form. This study places first-order quantitative constraints on Cambrian ocean temperatures from both proxy data and climate modelling approaches, and lays the groundwork for interrogating Cambrian environments with greater precision.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".