Reappraisal of<i>Gwawinapterus beardi</i>from the Late Cretaceous of Canada: a saurodontid fish, not a pterosaur
Bibliographic record
Abstract
Click to increase image sizeClick to decrease image size ACKNOWLEDGMENTS We would like to thank Louis Taverne (Université libre de Bruxelles), Bruna Burato (Museo Civico di Storia Naturale, Verona), and Susan Kornreich Wolf (Fryxell Geology Museum, Rock Island) for their assistance. Matt Friedman, Jesús Alvaredo-Ortega, and an anonymous reviewer offered valuable comments and suggestions, thus improving the quality of the article. This work was supported by a grant from the INTERRVIE program of the Institut National des Sciences de l’Univers, Centre Nationale de la Recherche Scientifique, and by the Project CGL2009-11838BTE of the Spanish Ministerio de Ciencia e Innovación. Handling editor: Matt Friedman
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| 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 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".