Introducing the Mazongshan Dinosaur Fauna
Bibliographic record
Abstract
The Mazongshan Dinosaur Fauna (MDF) includes all dinosaurs recovered from the late Early Cretaceous Xiagou and Zhonggou formations in the Mazongshan area of Gansu Province in northwestern China. Currently, 11 distinctive dinosaur genera have been recovered in this fauna, representing three theropods, two sauropods, four hadrosauroids, and two neoceratopsians. Four features can be recognized for the MDF: (1) the presence of large herbivorous theropods, such as the therizinosaur Suzhousaurus and ornithomimosaur Beishanlong; (2) the presence of diverse basal hadrosauroids, represented by at least four genera; (3) an abundance of basal neoceratopsians, represented by numerous individuals of Auroraceratops; and (4) an apparent lack of psittacosaurids. The MDF is unique and different from any other known dinosaur faunas, including that from the Jehol Biota.Citation for this article: You, H.-L., E. M. Morschhauser, D.-Q. Li, and P. Dodson. 2019. Introducing the Mazongshan Dinosaur Fauna; pp. 1–11 in Hailu You, Peter Dodson, and Eric Morschhauser (eds.), Auroraceratops rugosus (Ornithischia, Ceratopsia) from the Early Cretaceous of northwestern Gansu Province, China. Society of Vertebrate Paleontology Memoir 18. Journal of Vertebrate Paleontology 38(Supplement). DOI: 10.1080/02724634.2017.1396995.AbbreviationsCAGS IGInstitute of Geology, Chinese Academy of Geological Sciences, Beijing, ChinaCCDPChina-Canada Dinosaur ProjectIVPPInstitute of Vertebrate Paleontology and Paleoanthropology, Chinese Academy of Sciences, Beijing, ChinaMDFMazongshan Dinosaur FaunaSADPSino-American Mazongshan Dinosaur ProjectSJDPSino-Japanese Silk Road Dinosaur ExpeditionSSESino-Swedish Expedition
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".