Bibliographic record
Abstract
Finton, Nancy. Ecosystems. Washington, D.C: National Geographic, 2004. Print.Life science Eco-system by Nancy Finton and published by the National Geographic Society. The book is about the ecosystem and some interesting facts about animals and the North American landscape and ecosystem. This book also tells facts and the near extinction of the black footed ferret one of the rarest creatures in North America. This book is also about how the ecosystem and the food web works and these fun facts are awesome and I like science.I love the facts and pictures in this book because they are scientifically factual. I also love the meaning and facts of this book and it’s about the ecosystem and food web also animals that live in the great prairies of North America like the Pronghorn antelope which eats sage and the nearly extinct black footed ferret which feeds on prairie dogs. About 271 black footed ferrets have been raised since 1987 to 2001 and 202 black footed ferrets have been released since 1987 to 2001 what a beautiful job people did.I have no complaints about this book except there is little information about the ecosystem and I hope the author Nancy Finton adds more information and detail to this book. Not a lot of information about the different ecosystems and habitats from different countries around the world and there is way too much about prairie dogs like really I want to know lots but too much information about prairie dogs![Highly Recommended: 4 out of 5 stars]Reviewer: JacksonHello my name is Jackson and I like books about science and Nuclear physics and I think reading is important because we and our children will need knowledge and know everything we need to know so our lives can be easier in the future.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.232 | 0.222 |
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".