Through the eyes of the Andean bear: Camera collar insights into the life of a threatened South American Ursid
Bibliographic record
Abstract
Due to Andean bears' propensity for inhabiting challenging environments and terrain, their wild ecology remains poorly understood, especially when compared to other members of the Ursidae family. In one of the steepest, wettest regions of the Andes, the Kosñipata Valley of southeastern Peru, we attached and retrieved camera-borne collars on three wild free-ranging Andean bears. From just one longer term camera collar deployed on a single individual over a period of 4 months, we observed a variety of rare or previously undocumented natural history observations. These include courtship and mating behaviors, social interactions with conspecifics, novel dietary items of previously unrecorded fruit consumption, cannibalism, potential infanticide, the sole documented case of primate consumption, and evidence of geophagy. The wealth of novel natural history insights gained from just 4 months of camera collar data of this poorly studied species has elucidated numerous avenues warranting further investigation.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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 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".