Bibliographic record
Abstract
Smith, Jeff, and Steve Hamaker. Bone: 2. New York, NY: Graphix-Scholastic, 2005. Print.The book I chose was Bone the Great Cow Race. The book was written by Jeff Smith and published by Scholastic Inc in 2005.The book is about Fone Bone and his cousins trying to return home but his cousins Phoney and Smiley get caught trying to win a race. I liked the action and adventure in the story as well as the illustrations. The story was easy to follow and easy to read, as well as entertaining.I didn't like how some of the sentences were longer than others, because it made them hard to follow. The longer sentences made it hard to understand what was going on sometimes.I would give this book a rating of 3 out of 5. I would recommend it to kids in grades 4 or 5, because it is easy to read.Recommended: 3 out of 5 starsReviewer: TyroneMy name is Tyrone. My favourite place to read is in the library. I love to read horror books. My favourite book is Goosebumps.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.429 | 0.400 |
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".