Bibliographic record
Abstract
W. E. Evans, A. V. Yablokov. 2004. Noninvasive Study of Mammalian Populations. Pensoft Publishers, Sofia, Bulgaria, 142 pp., bibliography. ISBN 954-642-204-5, price (hardbound) $37.80. Improving knowledge on threatened species must be done in a manner that does not compromise individuals, and hence populations. The use of noninvasive techniques has great potential in the study and conservation of endangered species. With this end in mind, Evans and Yablokov have written Noninvasive Study of Mammalian Populations . The book is mostly an English-language expansion and revision of their 1983 Russian monograph on cetacean color patterns (Evans and Yablokov 1983). Their approach was motivated by a need to develop less intensive, and nonlethal, ways to study endangered species. The authors have researched cetacean color pattern since the early 1970s. However, noninvasive identification techniques were certainly not new at the time, because cattle breeders have used nose prints to identify individual bulls and their …
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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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".