Largest seizure of Earless Monitor Lizards <i>Lanthanotus borneensis</i> in Kalimantan, Indonesia
Bibliographic record
Abstract
fiscated 40 endangered Earless Monitor Lizards (Lanthanotus borneensis) in March 2024, the most of this species ever seized in a single incident.Acting on intelligence, the Criminal Investigation Unit of the Pontianak Police intercepted the shipment at the port of Dwikora, along the Kapuas River in West Kalimantan, according to a statement issued during a press conference by the Unit and the West Kalimantan BKSDA (Balai Konservasi Sumber Daya Alam -Department of Natural Resources) on 19 March.The port is Pontianak's main harbor.One individual implicated in this case was detained and faces charges following ongoing investigations (https://gardaanimalia.com/selamat-40-biawak-tak-bertelinga-gagal-diperdagangkan-ke-semarang/).This Bornean endemic reptile is known from five subpopulations in the Malaysian state of Sarawak and the Indonesian province of Kalimantan (Das and Auliya 2021), and was more recently reported from Brunei (Universiti Brunei Darussalam 2022), all on the island of Borneo.With such a limited range, where habitat destruction and loss are already a threat (Das and Auliya 2021), this species is highly susceptible to poaching for the international pet trade, regardless of it being a protected species in Brunei, Indonesia, and Malaysia (Nijman and Stoner 2014; Das and Auliya 2021).The Earless Monitor is categorized as Endangered on the International Union for Conservation of Nature Red List of Threatened Species (Das and Auliya 2021).International demand for this species for collectors and, in some cases, international zoos, has been well documented (Nijman and Stoner 2014;Janssen and Krishnasamy 2018;Das and Auliya 2021;Nijman
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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 | 0.001 |
| 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".