Bibliographic record
Abstract
Based on the literature review,questionnaires and trainer interview we designed a standard personality trait table to test and analyze the behavior of puppies 60-day-old.Three breeds,German Shepherd Dog,Labrador Retriever Dog,English Springer Spaniel were involved in this study.The results showed that the puppies showed their personality in three traits,i.e.sociability,playfulness,curiosity/fearlessness.The difference in personality between breeds was found.The playfulness showed by Labrador Retriever Dog was significantly higher than German Shepherd and Springer Spaniel(P0.01);the sociability trait of German Shepherd was significantly higher than the Labrador Retriever and Springer Spaniel(P0.01),and Labrador Retriever puppies displayed a significantly higher curiosity/fearlessness trait than German Shepherd and English Springer Spaniel(P0.01).The results showed that the standard personality trait table has better reliability and validity,it can be used to describe and compare puppy individual difference.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.002 | 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".