Statistical analysis of mixed-motive shell borings in Ordovician, Silurian, and Devonian brachiopods from northern and eastern CanadaThis article is one of a selection of papers published in this Special Issue on the theme<i>The dynamic reef and shelly communities of the Paleozoic. This Special is in honour of our colleague and friend Paul Copper</i>.
Bibliographic record
Abstract
Hundreds of shell borings of different origin and displaying variable patterns were found in strophomenide, pentameride, and orthide brachiopods of five Paleozoic localities in northern and eastern Canada. The borings were analyzed using simple statistics as well as cluster and nonmetric multidimensional scaling analyses. At the Ordovician Anticosti Island locality, all borings are parasitic or post-mortem in origin, while at the Wenlock–Ludlow Baillie-Hamilton Island, almost all borings are predatory. At the remaining three localities, borings represent a mix of predatory, parasitic, and post-mortem domichnial borings in all three brachiopod taxa, the proportions of which were controlled largely by brachiopod shell morphology and paleoecology. For the strophomenides, predatory borings can be segregated from parasitic and post-mortem domichnial using simple and multivariate statistical analyses. Sowerbyella-type strophomenides have a higher proportion of predatory borings at the Lochkovian localities than at the Ordovician localities, while the reverse is true for the Strophomena-type strophomenides. In pentamerides and orthides, very few predatory borings are identified; most borings were emplaced by parasitic or post-mortem domichnial borers. In pentamerides, this is due to the internal structure of the shells, which elevated the muscles of the organism above the shell floor, rendering them inaccessible to boring predators. In orthides, more deliberate defense mechanisms such as toxins or external ornamentation may have deterred predation. This study indicates that throughout the Paleozoic interactions between borers and brachiopods were complex but can be elucidated using a large sample size and statistical analyses.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| 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".