Scientific & Research Disclaimer
Clarifications on research scope, independent status, and evidence standards in computational bioacoustics.
1. Educational and Informational Purpose
All content, data summaries, articles, model cards, and documentation hosted on DolphinGemma.com are provided strictly for educational, scientific, and informational purposes. They do not constitute formal commercial advice, veterinary counsel, or regulatory recommendations for marine resource management.
2. Platform Independence & Affiliation Notice
DolphinGemma.com is an independent research and educational resource. It is NOT operated by, sponsored by, endorsed by, or affiliated with:
- Google LLC or Google DeepMind
- Wild Dolphin Project
- Project CETI (Cetacean Translation Initiative)
- Earth Species Project
All third-party product names, organizational titles, project designations, and registered trademarks cited throughout this platform (including Google, Gemma, SoundStream, BirdNET, AVES, Perch, Project CETI, and Earth Species Project) are used strictly for identification, descriptive, and informational purposes. Reference to or citation of any specific model, project, dataset, or institution does not imply endorsement, sponsorship, authorization, or formal partnership.
3. Animal Communication Research Scope & Boundaries
A core principle of DolphinGemma.com is the preservation of strict scientific accuracy and the rejection of sensationalism. In popular media, advances in neural models are frequently exaggerated as "decoding animal language" or "translating dolphins."
Our Mandatory Scientific Boundaries:
- Acoustic pattern recognition, neural audio codecs, and self-supervised embeddings perform statistical pattern detection, dimensionality reduction, and signal classification.
- Acoustic pattern recognition does not, by itself, establish semantic understanding, grammatical structure, or translation of dolphin vocalizations into human language.
- DolphinGemma.com does not assert that non-human cetaceans communicate using human linguistic structures, nor that any current or proposed computational model can "translate" odontocete acoustic signals into human sentences.
4. Dynamic Nature of Scientific Research
Bioacoustics and machine learning are rapidly evolving empirical sciences. Hypotheses, candidate signal repertoires, acoustic models, and preprint findings are subject to ongoing replication, peer review, and revision. Information presented reflects the current state of published research and may be refined as new evidence emerges.
5. External Sources and Ownership
External papers, datasets, audio files, and institutional publications remain the intellectual property of their original creators and publishers. Where links or DOIs are provided, they are for convenience and scholarly citation.
6. Questions, Feedback, and Independence Inquiries
If you have questions regarding this disclaimer, trademark attributions, or institutional independence, please contact our editorial desk directly at contact@dolphingemma.com or submit an inquiry via our contact form.