Bibliographic record
Abstract
Dogs are considered to be the most loyal companion of Mankind since ages. They are considered to be the decedents of wolfs. They hold their decent from antient extinct species of wolfs and recently available grey wolfs. Owing to its loyalty and affectionate nature they are the first domesticated animal in man’s world for 15000 years ago. Firstly, they were used by hunters during the time of hunting and were used as to gather the hunts, as in those days’ agriculture was not in practice. This long relationship between human and dogs made them quite loyal and adaptable to human needs. They can eat anything which a man can provide to them and happily accommodates with Human. There are large number of dogs breed which is available in various countries having their own individual traits. They vary in their shape, size, colours, behaviour and their sensory capabilities. Some of dogs are calm and some are aggressive in nature, due to which their utility changes, as they perform many roles for mankind, such as hunting, herding, pulling loads, protection, assisting police and the military, companionship, therapy and aiding disabled people. This relationship with mankind has earned them a title “Man’s best friend”. There are many popular dog breeds in India such as 1) Beagles 2) German Shepherd 3) Great Dane, 4) Labrador Retriever, 5) Boxer, 6) Rottweiller, 7) Pug, 8) Golden Retriever, 9) Cocker Spaniel 10) Dachshund etc.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".