Vertebrate Biogeography of the Late Cretaceous (Cenomanian-Maastrichtian) Western Interior Seaway of North America by Percent Community Similarity with the Faunal Assemblages of south-central Canada
Bibliographic record
Abstract
Community zonation of the Late Cretaceous Western Interior Seaway (WIS) of North America has been suggested for bivalves, cephalopods, foraminifera, gastropods, and tetrapods. Most proposed WIS community zones consist of a northern and southern subprovince with a gradational boundary in central or south-central North America. Since it has been over three decades since the WIS community zonation hypothesis has been investigated for vertebrates, new information including recent radiometric age determinations, taxonomic revisions, additional fossil discoveries, and recently available online museum specimen catalogues allow for testing of the community zonation hypothesis using an updated dataset. Community percent similarities were calculated between time-averaged, lithostratigraphic unit faunal assemblages of the Manitoba escarpment and other WIS localities using Percent Similarity coefficients calculated from relative abundance data as well as Sorensen’s Coefficients of Communities calculated from presence-absence data on the generic and species levels for comparisons. Additionally, nine time bins were used to represent nine Upper Cretaceous lithostratigraphic units of the Manitoba escarpment to test the zonation hypothesis consistency for nearly the entire Late Cretaceous time interval (~71-95 Ma). Relatively high genus-level community similarity values (25-50%) of south-central WIS localities and low values (
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".